30 Etl Developer jobs in Singapore

Who are we?
Amaris Consulting
is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:
Brief Call : Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
Interviews
(the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
Case study : Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
We look forward to meeting you!
Job description
ABOUT THE JOB
Develop and maintain ETL processes for data migration projects
Design, implement, and optimize ETL workflows using Talend (preferably) or similar tools
Analyze existing data structures and migration requirements
Collaborate with business and technical teams to gather and clarify requirements
Perform data mapping, transformation, and validation
Troubleshoot and resolve ETL-related issues
Ensure data quality and integrity throughout migration processes
Document ETL processes and maintain technical documentation
ABOUT YOU
Experience with ETL development and data migration projects
Proficiency with Talend ETL tools (preferably) or similar platforms
Academic background: degree in Computer Science, Information Systems, or related field
Experience with relational databases (e.g., SQL Server, Oracle, MySQL)
Experience with data modeling and data warehousing concepts
Experience with AI generative tools (if relevant)
You have strong analytical and problem-solving skills
You have excellent communication and teamwork abilities
You have adaptability and a proactive approach to challenges
WHY AMARIS?
At Amaris Consulting, we believe in creating a thriving, positive workplace where every team member can grow, connect, and make a real impact. Here’s what you can expect when you join our dynamic community:
Global Diversity : Be part of an international team of 110+ nationalities, celebrating diverse perspectives and collaboration.
Trust and Growth : With 70% of our leaders starting at entry-level, we’re committed to nurturing talent and empowering you to reach new heights.
Continuous Learning : Unlock your full potential with our internal Academy and over 250 training modules designed for your professional growth.
Vibrant Culture : Enjoy a workplace where energy, fun, and camaraderie come together through afterworks, networking events, and more.
Meaningful Impac t: Join us in making a difference through our CSR initiatives, including the WeCare Together program, and be part of something bigger.
Equal Opportunity
Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
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Technology

Data Warehouse Engineer - Data Platform, TikTok TnS

Location

:

Singapore

Employment Type

:

Regular

Job Code

:

A

Responsibilities

Team Introduction

The mission of the Data Platform Singapore Business Partnering (DPSG BP) team is to empower the TikTok Business with data. Our goal is to build a Data Warehouse that can cater to batch and streaming data, Data Products that provide useful information to build efficient data metrics & dashboards which will be used to make smarter business decisions to support business growth. If you're looking for a challenging ground to push your limits, this is the team for you

Responsibilities:

• Design and implement data warehouse architectures, data modeling, and ETL pipeline development.
• Optimize data ETL process and resolve technical issues related to large-scale data ETL.
• Participate in data governance under complex data link dependencies and diverse data content ecosystems.
• Implement data solutions for business scenarios, leveraging ByteDance's robust mid-tier architecture and product systems.

Qualifications

Minimum Qualifications:

• Proficiency in data warehouse implementation methodologies, with in-depth understanding of data warehouse systems and experience supporting business scenarios.
• Strong coding skills, with proficiency in multiple tools/languages including SQL, Python, Java, Hive, Spark, Kafka and Flink.

Preferred Qualifications:

• Data-sensitive, meticulous and adept at identifying anomalies in data.
• Strong communication skills and excellent ability in integrating technical expertise with business needs.

Job Information

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is 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 bring joy - a mission we work towards every day.

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. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. 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

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.

Qualifications
Degree/master’s in computer science, Information Technology, Computer Engineering or equivalent.
Minimum eight (8) years’ experience in providing data warehouse or advanced analytics solutions.
Experience with
databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Databricks)
data repository design (e.g. operational data stores, dimensional data stores, data marts, datalakes)
data interrogation techniques (e.g. SQL, NoSQL).
structured and unstructured data analytics.
statistical computing programming language (e.g. R, Python).
data quality tools and processes.
data transformation and terminology equivalence mapping.
Experience in data modelling for analytics (e.g. star schemas, snowflake schemas).
Deep understanding of analytical models and methodologies – especially in the context of health analytics for clinical use and clinical safety (e.g. data mining, predictive analytics).
Experience with data acquisition tools (e.g., ETL, real-time data capture, and change data capture).
Thorough understanding of ML, data analysis, data visualization, and event-driven architecture.
Exposure to the development, evolution and adherence to the architectures relevant to the domain.
Ability to work with a wide variety of report generation software (e.g. Power BI, Tableau and OBIEE) and generate a wide variety of outputs (dashboards, scheduled reports).
The ability to work towards strict and conflicting deadlines, be able to plan and prioritise in an environment with multiple stakeholders.
Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.
Familiarity or experience with health informatics would be preferred.
An understanding of healthcare data governance, data acquisition and data management would be an advantage.
Experience in interacting with analytics stakeholders (economists, statisticians, clinicians, policy makers) on a business or domain level would be preferred.
Cloud Exposure (AWS)
Strong knowledge and practical experience with AWS.
Familiarity with modern cloud application architecture.
Exposure to cloud managed services and microservices like Function as a Service, Containers, and managed databases.
Experience with setting up load balancers, cloud networks, and virtual servers.
Infrastructure as code (IAC): Cloud formation, terraform.
AWS identity and access management, integration with active directory.
Familiarity with security and access control measures to control privileged access to test and production environment.
Certification in AWS Cloud Practitioner or AWS Architect.
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1. Degree/master’s in computer science, Information Technology, Computer Engineering or equivalent.
2. Minimum eight (8) years’ experience in providing data warehouse or advanced analytics solutions.
3. Experience with

• databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Databricks)
• data repository design (e.g. operational data stores, dimensional data stores, data marts, datalakes)
• data interrogation techniques (e.g. SQL, NoSQL).
• structured and unstructured data analytics.
• statistical computing programming language (e.g. R, Python).
• data quality tools and processes.
• data transformation and terminology equivalence mapping.

1. Experience in data modelling for analytics (e.g. star schemas, snowflake schemas).
2. Deep understanding of analytical models and methodologies – especially in the context of health analytics for clinical use and clinical safety (e.g. data mining, predictive analytics).
3. Experience with data acquisition tools (e.g., ETL, real-time data capture, and change data capture).
4. Thorough understanding of ML, data analysis, data visualization, and event-driven architecture.
5. Exposure to the development, evolution and adherence to the architectures relevant to the domain.
6. Ability to work with a wide variety of report generation software (e.g. Power BI, Tableau and OBIEE) and generate a wide variety of outputs (dashboards, scheduled reports).
7. The ability to work towards strict and conflicting deadlines, be able to plan and prioritise in an environment with multiple stakeholders.
8. Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.
9. Familiarity or experience with health informatics would be preferred.
10. An understanding of healthcare data governance, data acquisition and data management would be an advantage.
11. Experience in interacting with analytics stakeholders (economists, statisticians, clinicians, policy makers) on a business or domain level would be preferred.

1.1.1 Cloud Exposure (AWS):

1. Strong knowledge and practical experience with AWS.
2. Familiarity with modern cloud application architecture.
3. Exposure to cloud managed services and microservices like Function as a Service, Containers, and managed databases.
4. Experience with setting up load balancers, cloud networks, and virtual servers.
5. Infrastructure as code (IAC): Cloud formation, terraform.
6. AWS identity and access management, integration with active directory.
7. Familiarity with security and access control measures to control privileged access to test and production environment.
8. Certification in AWS Cloud Practitioner or AWS Architect.

Senior Data Engineer (Data Warehouse) - Web3 - Singapore (Hybrid)
Crypto Jobs
Job Description
About the Job
Company:
Binance
Role:
Full-time
Mission:
Join the world’s largest cryptocurrency exchange and shape the future of the blockchain ecosystem.
Architect and implement a
flexible, scalable data warehouse
aligned with business specifications.
Design, develop, test, deploy, and monitor
data models
and
ETL jobs .
Troubleshoot complex issues and optimize
calculation logic
and
pipeline performance .
Lead
data governance initiatives , building and maintaining
metadata management
and
data quality monitoring systems .
Foster
technical team growth
through
mentorship , knowledge sharing, and continuous improvement.
5+ years
of hands-on experience in
data lakes
and
data warehouse solutions .
Deep expertise in
data warehouse modeling
and
governance
(dimensional modeling, data vault, “one data” principles).
Proficiency in
Java ,
Scala , or
Python , along with strong
Hive
&
Spark SQL programming
skills.
Practical experience with
OLAP engines
like
Apache Kylin ,
Impala ,
Presto ,
Druid .
Proven track record in building high-throughput
batch pipelines
on
Big Data platforms .
Familiarity with core
Big Data technologies
(Hadoop, Hive, Spark, Delta Lake, Hudi, Presto, HBase, Kafka, Zookeeper, Airflow, Elasticsearch, Redis).
AWS Big Data service
experience is a plus.
Strong
analytical
and
system-design capabilities , with the ability to translate business requirements into technical solutions.
Collaborative mindset , skilled at building partnerships across teams.
Bilingual
in
English /
Mandarin
(required for coordination with overseas partners and stakeholders).
Preferred Qualifications:
Experience resolving
critical production incidents .
Why Binance:
Shape the future with the
world’s leading blockchain ecosystem .
Collaborate with world-class talent in a
user-centric global organization .
Work on
unique, fast-paced projects
with autonomy in an innovative environment.
Thrive in a
results-driven workplace
with opportunities for career growth.
Competitive salary
and
company benefits .
Work-from-home arrangement
(varies depending on team).
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Data Integration & Historian Specialist (Pharma, Contract)

12 Months Contract

Location: Tuas

Up to $10,000 depending on experience

Industry: Pharmaceutical

Our client aims at creating a new manufacturing concept consisting of a new generation of evolutive multi-product facilities, modular, adaptable, and agile, leveraging new disruptive technologies, to better address vaccine business challenges

Responsibilities:

• Define and support equipment interfacing to enable contextualized data acquisition (APRM), including Alarm & Event and Audit Trail data.
• Develop and optimize SQL queries to extract and manage relevant data.
• Collaborate on Plug & Produce (P&P) investigations and design efforts for seamless integration between MES and Historian systems.
• Review and approve technical specifications for system interfaces.
• Provide support for test case execution and perform teat case activities as required, ensuring system readiness and compliance with defined requirements.
• Act as a liaison between Digital and other cross function team (Automation, MES and MSAT) as well as Global Teams to support and troubleshoot for application-related incidents, ensuring timely resolution and effective communication.
• Diagnose and resolve issues related to data acquisition and interface connectivity between MES, PLC, DCS, and Historian systems.
• Monitor application performance and availability to ensure continuous operation of the Historian system.
• Conduct routine maintenance tasks including log reviews, job monitoring, and system health checks.
• Ensure robust backup and recovery procedures are in place and regularly tested.
• Participate in Historian upgrade activities, including impact assessments to evaluate risks, dependencies, and validation requirements.

Requirements:

• Proficient in both Waterfall and Agile project methodologies
• Deep expertise in deploying and configuring Aspen Historian Suite, including Aspen IP.21, Aspen Production Record Manager (APRM), Event21, CIM-IO, Batch Extractor and Aspen SQL +
• Skilled in configuring Kepware, including driver setup for protocol transaction and data aggregation
• Experienced working in pharmaceutical manufacturing environments
• Proven experience integrating with a wide range of automation and control systems:

1. DCS systems such as Emerson DeltaV
2. SCADA platforms including WinCC and Wonderware
3. PLCs, benchtop instruments, and other lab/manufacturing equipment

• Technical Proficiencies

1. Database: MySQL, Microsoft SQL Server, Oracle
2. Data and Industrial Protocols: ODBC, FTP, MQTT, OPC-UA, OPC-DA, Modbus
3. Scripting & Automation: PowerShell scripting for automation and data handling

• Infrastructure Knowledge: In-depth understanding of networking principles and operating systems (Windows/Linux)

Lim Pey Chyi -

Recruitment Consultant (R )

Manpower Staffing Services (S) Pte Ltd

EA Licence: 02C3423

Data Warehouse Engineer Graduate (Data Platform, TikTok Live) - 2026 Start (BS/MS)
Join to apply for the
Data Warehouse Engineer Graduate (Data Platform, TikTok Live) - 2026 Start (BS/MS)
role at
TikTok
Data Warehouse Engineer Graduate (Data Platform, TikTok Live) - 2026 Start (BS/MS)
6 days ago Be among the first 25 applicants
Join to apply for the
Data Warehouse Engineer Graduate (Data Platform, TikTok Live) - 2026 Start (BS/MS)
role at
TikTok
Responsibilities
Team Introduction
The mission of the Global live Data BP team is to empower the TikTok Live Business with data. Our goal is to build a Data Warehouse that can cater to batch and streaming data, Data Products that provide useful information to build efficient data metrics & dashboards which will be used to make smarter business decisions to support business growth. If you're looking for a challenging ground to push your limits, this is the team for you!
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities:
Participate in the construction of offline and real-time data warehouses for TikTok Live business.
Handle PB-level large-scale data, processing hundreds of billions of users data daily.
Provide services for the entire lifecycle of big data, covering data generation, transmission, modeling, statistical analysis, experiment evaluation, and visualization.
Build and design well-structured data flows, data warehouses, scheduling systems, query engines, data services, analysis systems, process specifications, and data tools/products to lower the threshold for data usage and ensure steady and efficient system operation, maximizing the value of the data.
Qualifications
Minimum Qualifications:
Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
Solid foundation with strong coding skills in SQL, Python, Scala, Java etc.
Preferred Qualifications:
Experience with big data tools/frameworks such as Spark, Hadoop, Hive, Flink, Kafka, HBase, etc.
Passionate and self-motivated about technologies in the Big Data area.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here:
If you have any questions, please reach out to us at
Job Information
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is 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 bring joy - a mission we work towards every day.
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. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. 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
TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.
Seniority level
Seniority level Internship
Employment type
Employment type Full-time
Job function
Job function Information Technology
Industries Entertainment Providers
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Data Warehouse Engineer Intern (Data Platform, TikTok Live) - 2026 Start (BS/MS)
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Analytics Engineer- Data Operations & Governance
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About the Role

Data Integration Specialist to join our growing team and support enterprise data integration, ETL/ELT pipelines, and cloud data migration efforts for key projects. You'll work closely with business and technology stakeholders to design, build, and optimize robust data integration solutions—enabling smarter insights and better decision-making.

What You'll Do

• Design, develop, and maintain scalable ETL/ELT pipelines across multiple systems

• Build data integration solutions using cloud-native services (AWS Glue, Lambda, S3, Redshift, DMS, Athena)

• Translate business requirements into technical specifications and data mapping documents

• Ensure data quality, consistency, and integrity across systems

• Monitor and troubleshoot production data flows and optimize performance

• Collaborate with data architects, analysts, and source/target system owners

• Maintain data lineage and documentation

• Work in an Agile team environment and contribute to continuous improvement

What We're Looking For

• 8+ years of hands-on experience in data integration and ETL/ELT

• Strong knowledge of cloud platforms (AWS preferred

• Proficient with AWS Glue, Lambda, S3, Redshift, DMS, Athena, or similar services

• Strong SQL skills + experience with Python or PySpark

• Understanding of data warehousing, data lake architecture, data modelling

• Familiarity with APIs, JSON, XML, flat files, and RDBMS

• Develop and optimize SQL queries to extract and manage relevant data.
• Collaborate on Plug & Produce (P&P) investigations and design efforts for seamless integration between MES and Historian systems.
• Review and approve technical specifications for system interfaces, provide support for test case execution, and ensure system readiness and compliance with defined requirements.