309 Data Development jobs in Singapore

Big Data Development Specialist

Singapore, Singapore beBeeDataInsights

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Job Description

Job Title: Data Insights Engineer

About the Role

We are seeking an experienced Data Insights Engineer to join our team. In this role, you will be responsible for designing, building, and maintaining big data platforms. This includes developing efficient ETL preprocessing workflows to ensure smooth data extraction, transformation, and loading.

You will also design, implement, and optimize data warehouses to ensure data is easily accessible and well-organized for analysis. Additionally, you will conduct detailed data analysis, including data modeling, dashboard development, and data mining, to extract actionable insights for the business.

A key focus of this role is ensuring the performance of data pipelines and systems is efficient and scalable. You will work closely with our team to monitor and optimize system performance, identifying areas for improvement and implementing solutions to enhance data processing capabilities.


Requirements
  • Proficient in at least one object-oriented programming language, such as Python, Java, or Scala.
  • Strong analytical abilities with innovative thinking, capable of independently solving complex technical problems.
  • Over 6 years of experience in big data development, including real-time and offline data processing, modeling, ETL development, and data analysis.
  • Deep understanding and practical experience with big data technologies, including Spark, Flink, Hive, and other mainstream big data processing frameworks.
  • Excellent teamwork spirit, strong communication skills, and ability to thrive in a fast-paced and dynamic work environment.
  • Proficient in both English and Mandarin for effective work communication in a bilingual environment.

What We Offer
  • A collaborative and dynamic work environment that encourages innovation and growth.
  • The opportunity to work on high-profile projects that drive business success.
  • A competitive salary and benefits package that rewards your hard work and dedication.
  • Ongoing training and professional development opportunities to help you stay ahead in your career.

Why Join Us

We're a company that values creativity, collaboration, and continuous learning. Our team is passionate about using technology to drive business outcomes and make a positive impact. If you share our vision and are looking for a challenging and rewarding role, we'd love to hear from you!

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Big Data Development Engineer (Tea) - Data Platform

048583 Raffles Quay, Singapore $22500 Monthly BYTEDANCE PTE. LTD.

Posted 6 days ago

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Job Description

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.


Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.


As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.


Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.


Job highlights

Positive team atmosphere, Career growth opportunity


Responsibilities


About the team:

Tea (Toutiao Event Analyze) is an in-house analytics platform that is heavily used by more than 10,000 employees globally. This is a data middle platform product built on user behavior data, providing data analysis services for various domestic and international businesses within ByteDance/TikTok, including Douyin, Toutiao, Xigua, TikTok, and more. It possesses robust capabilities to support exabyte-level massive data, trillion-level event volume, and millisecond-level response time, offering users simple, flexible, and high-performance data analysis services.


We are the global engineering team for Tea. We are passionate about building the best data analytics platform in the world and are looking for top-notch software engineers to join the talented team. We deliver Tea products to over ten regions worldwide, optimizing product performance based on the unique data and cultural characteristics of each region.


Responsibilities:

- Responsible for the deployment, configuration, monitoring, and maintenance of big data platforms.

- Implement and optimize the infrastructure for big data storage, processing, and computation.

- Responsible for architectural design, performance tuning, and troubleshooting of big data platforms.

- Analyze and resolve complex system performance and stability issues to ensure system reliability and stability.

- Write technical documentation to record system configurations and operational procedures.

- Update software, enhances existing software capabilities and develops and direct software testing and validation procedures.


Qualifications


Minimum Qualifications:

- Bachelor's Degree in Computer Science or related discipline with experience in software engineering, with 2 years of relevant experience.

- 2 years experience in big data platform operations, familiarity with technologies such as Hadoop, Spark, Clickhouse, etc.

- Solid programming skills, proficient in at least one programming language (e.g., Java, Scala, Python).

- Strong foundation in computer science, familiarity with operating system principles, data structures, and algorithms.

- Compliance Requirement: Familiarity with and adherence to international data protection regulations; ability to formulate and execute compliance-oriented strategies.

- Global Multi-Environment Deployment and Operations: Experience in deploying and maintaining big data platforms across multiple global locations; familiarity with cross-geographical operational challenges.


Preferred Qualifications:

- Excellent teamwork and communication skills, experience in project management.

- Strong problem analysis and resolution skills, ability to respond quickly to emergencies.

This advertiser has chosen not to accept applicants from your region.

Big Data Development Engineer (Tea) - Data Platform

048583 Raffles Quay, Singapore $14000 Monthly BYTEDANCE PTE. LTD.

Posted 6 days ago

Job Viewed

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Job Description

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.


Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.


As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.


Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.


Job highlights

Positive team atmosphere, Career growth opportunity


Responsibilities


About the team:

Tea (Toutiao Event Analyze) is an in-house analytics platform that is heavily used by more than 10,000 employees globally. This is a data middle platform product built on user behavior data, providing data analysis services for various domestic and international businesses within ByteDance/TikTok, including Douyin, Toutiao, Xigua, TikTok, and more. It possesses robust capabilities to support exabyte-level massive data, trillion-level event volume, and millisecond-level response time, offering users simple, flexible, and high-performance data analysis services.


We are the global engineering team for Tea. We are passionate about building the best data analytics platform in the world and are looking for top-notch software engineers to join the talented team. We deliver Tea products to over ten regions worldwide, optimizing product performance based on the unique data and cultural characteristics of each region.


Responsibilities:

- Responsible for the deployment, configuration, monitoring, and maintenance of big data platforms.

- Implement and optimize the infrastructure for big data storage, processing, and computation.

- Responsible for architectural design, performance tuning, and troubleshooting of big data platforms.

- Analyze and resolve complex system performance and stability issues to ensure system reliability and stability.

- Write technical documentation to record system configurations and operational procedures.

- Update software, enhances existing software capabilities and develops and direct software testing and validation procedures.


Qualifications

Minimum Qualifications:

- Bachelor's Degree in Computer Science or related discipline with experience in software engineering, with 2 years of relevant experience.

- 2 years experience in big data platform operations, familiarity with technologies such as Hadoop, Spark, Clickhouse, etc.

- Solid programming skills, proficient in at least one programming language (e.g., Java, Scala, Python).

- Strong foundation in computer science, familiarity with operating system principles, data structures, and algorithms.

- Compliance Requirement: Familiarity with and adherence to international data protection regulations; ability to formulate and execute compliance-oriented strategies.

- Global Multi-Environment Deployment and Operations: Experience in deploying and maintaining big data platforms across multiple global locations; familiarity with cross-geographical operational challenges.


Preferred Qualifications:

- Excellent teamwork and communication skills, experience in project management.

- Strong problem analysis and resolution skills, ability to respond quickly to emergencies.

This advertiser has chosen not to accept applicants from your region.

Data Architecture Specialist

Singapore, Singapore beBeeDataSecurity

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Job Description

Job Title: Data Architecture Specialist

We are seeking a highly skilled and experienced data architecture specialist to design, build, and optimize end-to-end data architecture for social service platforms. This role involves leading efforts in data modeling, pipeline development, API integration, data security, and cross-agency data synchronization, ensuring secure and efficient access to critical citizen information.

Key Responsibilities:

1. Data Architecture & Pipeline Development

  • Design and implement scalable and reusable data models to support social service integration.
  • Build and manage ETL/ELT pipelines for legacy system migration and real-time data synchronization across agencies.
  • Develop and maintain batch and streaming data pipelines for cross-agency data sharing.
  • Implement data validation frameworks and monitoring systems to ensure high data quality.

2. Integration Development & API Management

  • Design and develop RESTful APIs and system integrations for solutions like case management software.
  • Develop and maintain detailed API documentation, including interface contracts and change logs.
  • Ensure API performance, security, availability, and scalability through structured testing and monitoring.

3. Data Security & Compliance

  • Enforce data protection measures, including field-level encryption, role-based access controls, and secure data transfer.
  • Ensure compliance with regulatory frameworks.
  • Maintain audit trails, implement data masking, and classify sensitive data appropriately.
  • Monitor and enforce data policies across environments.

4. Performance Optimization & Monitoring

  • Tune query performance and batch processing to support near real-time analytics.
  • Monitor and optimize real-time data synchronization processes.
  • Develop and maintain performance dashboards to track pipeline health and system metrics.
  • Ensure high system reliability, uptime, and service level objectives (SLOs) are met.

5. Cross-Team Collaboration

  • Collaborate closely with business analysts, solution architects, DevOps, and frontend/backend developers.
  • Participate in Agile ceremonies, including sprint planning, backlog grooming, and retrospectives.
  • Conduct code reviews, engage in pair programming, and foster technical excellence within the team.
  • Provide expertise and support on data integration and architecture.

6. Quality Assurance & Documentation

  • Maintain clear and up-to-date technical documentation, including system design and data flow diagrams.
  • Develop automated test cases to validate data transformations and integration logic.
  • Conduct end-to-end data accuracy validation across source and destination systems.
  • Create troubleshooting playbooks and resolution procedures to support operational teams.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Information Systems, or related discipline.
  • 7+ years of experience in data architecture, data engineering, or system integration roles.
  • Proficient in ETL tools, SQL, data modeling, and real-time stream processing frameworks.
  • Strong experience with API development and integration standards.
  • Familiarity with systems integration, services, and compliance requirements.
  • Solid understanding of data security, access control, and compliance frameworks.
  • Experience in cloud platforms, CI/CD pipelines, and monitoring tools.
  • Excellent communication and documentation skills.
Scalability, Cloud, Data Modeling, Quality Assurance, Pipelines, ETL, Data Integration, Data Security, Data Quality, Test Cases, Access Control, Data Engineering, SQL, System Design, Compliance, Data Architecture, API
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Data Architecture Specialist

Singapore, Singapore beBeeData

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Job Description

Job Opportunity

We are seeking a skilled professional to fill the role of Data Engineer/Software Developer.

The successful candidate will be responsible for designing and implementing data integration pipelines and asynchronous data events using event-driven architecture to consolidate data from various sources and systems.

  • Collaborate with highly skilled Software Engineers and Data Engineers in deploying and delivering software products.
  • Taking ownership of key software components development.
  • Design, develop, and maintain scalable data models and schemas using best practices.
  • Develop integration connectors for multiple sources and systems.
  • Data transformation and processing: clean, normalize, and aggregate data.
  • Strong knowledge of data manipulation languages like SQL necessary to build and maintain complex queries and data pipelines.
  • Implement event-driven processing pipelines using frameworks like Solace Pubsub, Apache Kafka, MQTT, AMQP.
Requirements
  • Bachelor's/Master's degree in Computer Science / Engineering / Industrial Engineering or related field.
  • Proficiency in at least one object-oriented language; Java skills are desirable.
  • Deep understanding of event-driven architecture, data producers and consumers.
  • Knowledge on data analytics pipeline, data lakehouse & warehouse concept.
  • Familiarity with relational and non-relational databases.
  • Excellent communication, collaboration, and problem-solving skills.
Key Responsibilities
  • Work collaboratively as part of a team.
  • Design and implement data pipelines.
  • Develop integration connectors.
  • Maintain data quality.
  • Collaborate with cross-functional teams.

As a Data Engineer/Software Developer, you will have the opportunity to work on challenging projects and contribute to the success of the company. We offer a competitive compensation package and opportunities for career growth and professional development.

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VP, Data Architecture & Strategy

Singapore, Singapore Charterhouse Asia

Posted 20 days ago

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Direct message the job poster from Charterhouse Asia

Recruiting Top Talent in Technology, Quant Dev, & Digital l Career Coach l

A leading financial services firm is looking to hire a VP of Data Strategy & Architecture to join their dynamic data function. This leadership role will play a key part in designing robust data models that power core banking functions, regulatory reporting, risk analytics and broader strategic initiatives.

This is an exciting opportunity for a seasoned data professional who thrives in fast-paced, complex environments and is passionate about building scalable data architecture that drives meaningful business outcomes.

Responsibilities:

  • Partner with business and technology stakeholders to gather data requirements related to banking products, customer transactions, reporting, and analytics.
  • Design and maintain logical and physical data models that align with key business use cases.
  • Convert complex business requirements into scalable, efficient data structures that support both operations and analytics.
  • Lead the development and continuous improvement of data marts, data warehouses, and integration layers.
  • Collaborate with engineering teams to ensure optimal deployment and performance of physical data models.
  • Align data architecture with governance, quality, and metadata standards.
  • Produce thorough documentation, including data dictionaries, data flow diagrams, and architecture designs to support regulatory, audit, and business needs.
  • Contribute to data lineage, metadata, and data quality initiatives to enhance trust in enterprise data.

Requirements:

  • Degree in Computer Science, Information Systems, Data Science, or related field (Master’s preferred).
  • 10+ years of experience in data architecture, modeling, or data management, ideally within the financial services or banking sector.
  • Solid understanding of data governance principles (e.g. DAMA-DMBOK).
  • Proven expertise in building data models for banking, risk, compliance, and finance domains.
  • Skilled in data modeling tools such as Erwin, PowerDesigner, or similar platforms.
  • Strong SQL capabilities with hands-on experience working with large-scale financial data sets.
  • Deep understanding of relational and dimensional modeling, as well as data warehousing and integration strategies.
  • Familiarity with APAC financial regulatory frameworks is a plus.
  • Strong interpersonal and communication skills, with the ability to engage and align with both technical and business stakeholders.

For a confidential discussion, please contact Jackie Panopio at +65 6950 0369 or via email at

Seniority level
  • Seniority level Mid-Senior level
Employment type
  • Employment type Full-time
Job function
  • Job function Information Technology
  • Industries Financial Services, Data Infrastructure and Analytics, and IT System Data Services

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SVP - Applications Development Technology Senior Lead (Hybrid) SVP - Applications Development Delivery Lead - Flexcube (Hybrid) VP - Applications Development Senior Manager (VisionPLUS/Mainframe) - Hybrid VP - Application Development Senior Manager (Credit Cards Domain) - Hybrid VP - Application Development Lead Analyst (eTrading/Front Office Trading) - Hybrid Trading Application Support and Development Engineer, Associate/AVP AVP - Applications Development Programmer Analyst (Mainframe) - Hybrid AVP : Applications Development Programmer Analyst (Mainframe) - Hybrid AVP - Applications Development Senior Programmer Analyst (VisionPLUS/Mainframe) - Hybrid AVP - Applications Development Senior Programmer Analyst (Java) - Hybrid VP/AVP, End User Collaborative Service (Engineering), Future Ready Technology, Group Technology Assistant Director - Zero Trust Architecture (Cyber Security Office) Vice President, Platforms And Architecture, Information Technology SVP/VP, Data & Enterprise Architecture, Technology Risk Manager, Tech COO, Group Technology Applications Support Sr Manager - VP - SINGAPORE Assistant Vice President, Production Services Specialist (Event and Incident Management), Application Production Services and Engineering Assistant Vice President, Production Operations Specialist (Event and Incident Management), Application Production Services and Engineering Assistant Vice President, Production Operations Specialist (Event and Incident Management), Application Production Services and Engineering

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VP, Data Architecture & Strategy

Singapore, Singapore Charterhouse Asia

Posted today

Job Viewed

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Job Description

Get AI-powered advice on this job and more exclusive features.

Direct message the job poster from Charterhouse Asia

Recruiting Top Talent in Technology, Quant Dev, & Digital l Career Coach l

A leading financial services firm is looking to hire a VP of Data Strategy & Architecture to join their dynamic data function. This leadership role will play a key part in designing robust data models that power core banking functions, regulatory reporting, risk analytics and broader strategic initiatives.

This is an exciting opportunity for a seasoned data professional who thrives in fast-paced, complex environments and is passionate about building scalable data architecture that drives meaningful business outcomes.

Responsibilities:

  • Partner with business and technology stakeholders to gather data requirements related to banking products, customer transactions, reporting, and analytics.
  • Design and maintain logical and physical data models that align with key business use cases.
  • Convert complex business requirements into scalable, efficient data structures that support both operations and analytics.
  • Lead the development and continuous improvement of data marts, data warehouses, and integration layers.
  • Collaborate with engineering teams to ensure optimal deployment and performance of physical data models.
  • Align data architecture with governance, quality, and metadata standards.
  • Produce thorough documentation, including data dictionaries, data flow diagrams, and architecture designs to support regulatory, audit, and business needs.
  • Contribute to data lineage, metadata, and data quality initiatives to enhance trust in enterprise data.

Requirements:

  • Degree in Computer Science, Information Systems, Data Science, or related field (Master’s preferred).
  • 10+ years of experience in data architecture, modeling, or data management, ideally within the financial services or banking sector.
  • Solid understanding of data governance principles (e.g. DAMA-DMBOK).
  • Proven expertise in building data models for banking, risk, compliance, and finance domains.
  • Skilled in data modeling tools such as Erwin, PowerDesigner, or similar platforms.
  • Strong SQL capabilities with hands-on experience working with large-scale financial data sets.
  • Deep understanding of relational and dimensional modeling, as well as data warehousing and integration strategies.
  • Familiarity with APAC financial regulatory frameworks is a plus.
  • Strong interpersonal and communication skills, with the ability to engage and align with both technical and business stakeholders.

For a confidential discussion, please contact Jackie Panopio at +65 6950 0369 or via email at

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Information Technology
  • Industries

    Financial Services, Data Infrastructure and Analytics, and IT System Data Services

Referrals increase your chances of interviewing at Charterhouse Asia by 2x

Get notified about new Vice President of Architecture jobs in Singapore, Singapore .

SVP - Applications Development Technology Senior Lead (Hybrid)

SVP - Applications Development Delivery Lead - Flexcube (Hybrid)

VP - Applications Development Senior Manager (VisionPLUS/Mainframe) - Hybrid

VP - Application Development Senior Manager (Credit Cards Domain) - Hybrid

VP - Application Development Lead Analyst (eTrading/Front Office Trading) - Hybrid

Trading Application Support and Development Engineer, Associate/AVP

AVP - Applications Development Programmer Analyst (Mainframe) - Hybrid

AVP : Applications Development Programmer Analyst (Mainframe) - Hybrid

AVP - Applications Development Senior Programmer Analyst (VisionPLUS/Mainframe) - Hybrid

AVP - Applications Development Senior Programmer Analyst (Java) - Hybrid

VP/AVP, End User Collaborative Service (Engineering), Future Ready Technology, Group Technology

Assistant Director - Zero Trust Architecture (Cyber Security Office)

Vice President, Platforms And Architecture, Information Technology

SVP/VP, Data & Enterprise Architecture, Technology Risk Manager, Tech COO, Group Technology

Applications Support Sr Manager - VP - SINGAPORE

Assistant Vice President, Production Services Specialist (Event and Incident Management), Application Production Services and Engineering

Assistant Vice President, Production Operations Specialist (Event and Incident Management), Application Production Services and Engineering

Assistant Vice President, Production Operations Specialist (Event and Incident Management), Application Production Services and Engineering

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Chief Data Architecture Strategist

Singapore, Singapore beBeeDataArchitecture

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Job Description

We are seeking a highly skilled Chief Data Architecture Strategist to join our team. As a Senior Data Platform Solution Architect, you will play a crucial role in developing and maintaining Azure Data Architecture within a banking environment, ensuring compliance with data-related policies and standards.

Your primary responsibilities will include designing and implementing data solutions using Databricks, including data pipelines, ETL processes, and data lakes, while analyzing system integration challenges and collaborating with data engineers and IT teams to address technical issues and support infrastructure needs.

You will also be responsible for implementing data security and privacy protection measures, and developing strategies for data acquisition, archive recovery, and database implementation.

In addition, you will collaborate with data governance teams to ensure data solutions comply with banking regulations.

Lastly, you will monitor system performance, troubleshoot issues, and maintain up-to-date knowledge of the Azure platform, Databricks, and industry best practices.

Required Skills and Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related discipline.
  • Extensive experience with Azure services, including Azure SQL Database, Data Factory, Data Lake Store, Data Lake Analytics, Stream Analytics, Azure Storage, Cosmos DB, and Databricks.
  • Proven expertise in designing and implementing solutions using Databricks, including Spark, Delta Lake, and MLflow.
  • Proven experience in data architecture and management, preferably within a cloud environment.
  • Banking experience or a strong understanding of banking regulations is preferred.
Benefits

This role offers an opportunity to work with a cutting-edge technology stack and contribute to the development of innovative data solutions.

About Us

We are a leading organization in the field of data management and architecture, committed to delivering high-quality solutions to our clients.

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Chief Data Architecture Officer

Singapore, Singapore beBeeEnterprise

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Job Description

Senior Enterprise Data Architect

We are seeking an experienced Senior Enterprise Data Architect to lead the design and delivery of our Market Data Services.

You will play a critical role in building a robust Enterprise Data Management (EDM) system supporting functions across Treasury, Risk, Finance, Wholesale, and Retail Banking globally.

Key Responsibilities:
  • Design end-to-end architecture for enterprise-level Market Data Services.
  • Develop and maintain architecture blueprints, standards, and frameworks for data sourcing, quality checks, transformation, and distribution.
Required Skills & Qualifications:
  • Strong hands-on experience with NeoXam DataHub or similar EDM platforms.
  • Proven ability to design and implement data models and establish golden sources of truth.
  • Experience managing enterprise-level data distribution to downstream systems.
Benefits:
  • High exposure and strong value to your career profile.
  • Opportunity to work on a strategic initiative under an optional regulatory regime.
Ideal Candidate Profile:
  • Proven leadership in market data architecture and implementation.
  • Able to act as Subject Matter Expert (SME) in market and referential data.
  • Comfortable working across front-to-back office user groups and managing senior stakeholders.
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Senior Data Architecture Specialist

Singapore, Singapore beBeeDataEngineer

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Job Description

Data Engineer Role

We are seeking a highly skilled and experienced Data Engineer to join our team. The ideal candidate will have a strong background in data engineering, analytics, and leadership responsibilities.

Key Responsibilities:
  • Design, develop, and manage scalable and secure data pipelines across multiple sources.
  • Architect and maintain enterprise data infrastructure, ensuring efficient data flow to data lakes/warehouses.
  • Execute and maintain ETL processes, including data validation and quality assurance.
  • Drive data governance and security compliance in alignment with company policies.
  • Collaborate with cross-functional teams to deliver analytics and reporting solutions.
  • Utilize Azure Data Services and Power BI to develop, publish, and manage reports and dashboards.
  • Ensure high performance and availability of analytics platforms.
  • Manage project deliverables for all data analytics initiatives.
  • Define and document data standards, policies, and best practices.
  • Ensure the scalability and reliability of data systems to meet growing business demands.
Required Skills and Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 5+ years of hands-on experience in data engineering and analytics, with leadership responsibilities.
  • Strong programming skills in Python, Java, or Scala.
  • Proficient in SQL, and experienced with both relational and NoSQL databases.
  • Solid understanding of data modeling, data warehousing, and database management.
  • Experience working with big data tools like Hadoop, Spark, and Kafka.
  • Proven experience with Azure cloud platforms and services.
  • Familiarity with ETL tools, data quality management, and data governance frameworks.
  • Strong project management and stakeholder coordination skills.
Benefits:

This role offers a unique opportunity to work on complex data engineering projects and contribute to the growth and success of our organization. We offer a competitive salary, comprehensive benefits package, and opportunities for professional development and advancement.

How to Apply:

If you are a motivated and experienced Data Engineer looking for a new challenge, please submit your application along with your resume and cover letter.

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