158 Warehouse Data jobs in Singapore

Senior Data Warehouse Engineer, AI Data Services

Crypto Jobs

Job Description

Singapore (Hybrid work environment)

Full-time

About the Role:

As a Senior Data Warehouse Engineer , you'll be at the core of Binance’s AI Data Services team, tasked with designing scalable, high-performance data warehouse solutions . This includes:

• Building ETL pipelines , data models, and metadata frameworks.
• Working with big data technologies at petabyte-scale.
• Collaborating with cross-functional teams to optimize data accessibility and quality.
• Architect & implement scalable data warehouses to support analytics and business intelligence.
• Develop ETL pipelines and resolve complex data processing issues.
• Design and implement data quality monitoring and metadata management .
• Mentor junior engineers and share best practices.

Must-Have Experience:

• 5+ years in data warehouse & big data solution development.
• Proficient in Java, Scala, or Python , with strong Hive & Spark SQL .
• Experienced in OLAP engines (Kylin, Impala, Presto, Druid).
• Skilled in big data tools : Hadoop, Hive, Spark, Kafka, Zookeeper, Airflow, etc.
• Able to design large-scale batch pipelines and troubleshoot performance bottlenecks.

Bonus Points For:

• Experience on AWS Big Data services .
• Managing petabyte-scale systems in production environments.
• Strong system design and stakeholder communication skills.
• Help shape the future of finance with the world's leading blockchain company.
• Work alongside top global talent in a flat, fast-paced organization.
• Autonomy and ownership in innovative, high-impact projects.
• Continuous learning & growth opportunities.
• Competitive pay and hybrid work flexibility.

Software Engineer, Backend - (Blockchain Platform - Nodes)

Software Engineer, Backend ( Developer Experience - Server Foundations)

Software Engineer, Frontend (International Exchange)

As a Data Warehousing Specialist with a minimum of 5 years of experience, you will be an integral part of our growing IT team based in Kochi, Kerala. Your primary responsibility will be to design, develop, and maintain robust data warehouse solutions that cater to our business intelligence and analytics requirements. Your key duties will include developing ETL processes, optimizing database performance, and ensuring data integrity. You will collaborate closely with data analysts and business teams to understand their data needs and work with both structured (SQL, MS SQL) and unstructured data (MongoDB). Additionally, you will be expected to uphold security and compliance standards for data storage and handling.To excel in this role, you must possess a minimum of 5 years of experience in data warehousing and database management. Proficiency in SQL, MS SQL Server, and MongoDB is crucial, along with a solid grasp of data modeling, schema design, and normalization. Experience with ETL tools, data integration frameworks, and troubleshooting complex queries will be beneficial. Strong communication skills and a problem-solving mindset are essential traits for success.Preferred qualifications include exposure to cloud-based data warehousing solutions such as AWS Redshift or Snowflake, as well as familiarity with BI tools like Power BI or Tableau. This is a full-time position with a hybrid work mode, offering benefits such as health insurance, paid sick time, and a performance bonus. The work schedule is Monday to Friday with weekend availability required.If you meet the requirements and are excited about contributing to our data-driven initiatives, we encourage you to apply before the deadline on 15/08/2025. A Bachelor's degree is required for this role, and fluency in English is essential. The position is based in Kochi, Kerala, and requires in-person work.Thank you for considering this opportunity with us.,

• Recruiter Details Fist Innovations Pvt Ltd

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• Recruiter Details Fist Innovations Pvt Ltd

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Join to apply for the Data Engineer - Data Warehouse role at Traveloka .

It's fun to work in a company where people truly BELIEVE in what they're doing!

• Define data model conventions and governance
• Design, develop, and maintain data pipelines (external data source ingestion jobs, ETL/ELT jobs, etc.)
• Design, develop, and maintain data pipeline frameworks (combining open source and internal software to build and govern data pipelines)
• Create and manage data pipeline infrastructures
• Continuously seek ways to optimize existing data processing for cost and time efficiency
• Ensure good data governance and quality through monitoring systems to oversee data quality in the data warehouse

• Minimum 3 years of experience in Data Engineering and Warehousing
• Fluent in Python and advanced SQL
• Preferably familiar with data warehouse environments (e.g., Google BigQuery, AWS Redshift, Snowflake)
• Preferably familiar with data transformation or processing frameworks (e.g., dbt, Dataform, Spark, Hive)
• Preferably familiar with data processing technologies (e.g., Google Dataflow, Google Dataproc)
• Preferably familiar with orchestration tools (e.g., Airflow, Argo, Azkaban)
• Understanding of data warehousing concepts (e.g., Kimball, Inmon, Data Vault) and experience in data modeling and improving data quality
• Preferably understand basic containerization and microservice concepts (e.g., Docker, Kubernetes)
• Knowledge of machine learning, building robust APIs, and web development is an advantage
• Ability to build and maintain good stakeholder relationships
• Ability to translate business requirements into data warehouse modeling specifications
• Creative problem-solving skills
• A team player who loves collaborating but can also work independently

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Mid-Senior level

Full-time

Information Technology

Software Development

Note: This job posting is active.

Join to apply for the Data Engineer - Data Warehouse role at Traveloka .

It's fun to work in a company where people truly BELIEVE in what they're doing!

Job Description

• Define data model conventions and governance
• Design, develop, and maintain data pipelines (external data source ingestion jobs, ETL/ELT jobs, etc.)
• Design, develop, and maintain data pipeline frameworks (combining open source and internal software to build and govern data pipelines)
• Create and manage data pipeline infrastructures
• Continuously seek ways to optimize existing data processing for cost and time efficiency
• Ensure good data governance and quality through monitoring systems to oversee data quality in the data warehouse

Requirements

• Minimum 3 years of experience in Data Engineering and Warehousing
• Fluent in Python and advanced SQL
• Preferably familiar with data warehouse environments (e.g., Google BigQuery, AWS Redshift, Snowflake)
• Preferably familiar with data transformation or processing frameworks (e.g., dbt, Dataform, Spark, Hive)
• Preferably familiar with data processing technologies (e.g., Google Dataflow, Google Dataproc)
• Preferably familiar with orchestration tools (e.g., Airflow, Argo, Azkaban)
• Understanding of data warehousing concepts (e.g., Kimball, Inmon, Data Vault) and experience in data modeling and improving data quality
• Preferably understand basic containerization and microservice concepts (e.g., Docker, Kubernetes)
• Knowledge of machine learning, building robust APIs, and web development is an advantage
• Ability to build and maintain good stakeholder relationships
• Ability to translate business requirements into data warehouse modeling specifications
• Creative problem-solving skills
• A team player who loves collaborating but can also work independently

Additional Information

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Software Development

Note: This job posting is active.

This Logistics Supervisor role is a pivotal position in our organization, overseeing the efficient management of daily warehouse operations. The successful candidate will be responsible for supervising and guiding warehouse staff and drivers to ensure accurate and timely order fulfillment.

• Supervise daily warehouse operations, including receiving, storage, order picking, and dispatch.
• Manage and guide warehouse staff and drivers to ensure accurate and timely order fulfillment.
• Plan delivery schedules and routes to optimize efficiency.
• Monitor inventory levels, coordinate with procurement and sales teams for stock replenishment.
• Ensure proper handling of drinks and vending products (including fragile and perishable items).
• Oversee logistics systems and processes to improve accuracy and efficiency.
• Maintain safety, cleanliness, and compliance in warehouse operations.
• Track operational KPIs and prepare reports for management.

To succeed in this role, candidates must possess the following qualifications:

• Diploma/Degree in Logistics, Supply Chain, Business, or related field.
• At least 2 years of relevant experience in warehouse/logistics operations, with supervisory responsibilities.
• Strong leadership, communication, and problem-solving skills.
• Proficient in inventory management systems/warehouse software.
• Able to work in a fast-paced environment and handle operational challenges.
• Forklift license will be an added advantage.

In return for your expertise, we offer a competitive salary package with performance incentives, career growth opportunities in a growing company, and a collaborative and supportive work environment.

Job Description

We are seeking an experienced professional to lead our warehouse management processes. As a SAP EWM Functional Consultant , you will be responsible for implementing and optimizing our warehouse operations using SAP Enterprise Warehouse Management.

Roles & Responsibilities

• You must have strong functional experience with SAP EWM/WM, preferably in hi-tech industries.
• A minimum of 2 full lifecycle implementation experiences is required.
• You should have good cross-functional knowledge in MM/PP, QM modules.
• Ability to lead requirements and design sessions.
• Working experience with inbound/outbound/Physical inventory and internal warehouse processes.
• Collaboration with business users to identify process bottlenecks and propose solutions.
• Experience as a business process architect is desired.
• Good experience in EWM/WM processes including Inbound , Outbound, Internal warehouse processes.
• Familiarity with standard SAP WM/EWM configurations including Warehouse org structure, Placement and removal strategies, Physical inventory, Print configurations.
• Proficiency in working experience on RF. RFID experience will be advantageous.
• Writing functional specs for RICEWF objects and collaboration with the development team.
• Understanding of transportation and carrier booking is preferred.

Required Skills & Qualifications

• SAP EWM
• SAP MM
• RFID
• SAP PP
• ERP
• ETL
• SAP PP-QM
• SAP
• SAP WM
• Physical Inventory

In this role, you will have the opportunity to work with a talented team and contribute to the success of our organization.

Job Description -

• Coordinate daily warehouse operations, ensuring seamless management of stock and supplies.
• Process incoming and outgoing raw material / stock, maintaining accurate records and implementing effective inventory control measures.
• Assist in receiving goods, verifying condition, and preparing packing lists for efficient dispatch.
• Support stock count, preparation, and verification processes to maintain up-to-date records.
• Monitor and maintain accurate stock records through our in-house ERP system.
• Ensure accuracy in stock records at various locations, promoting a culture of precision and reliability.
• Perform daily pick and pack of stocks for delivery, meeting customer demands promptly.
• Carry out other ad-hoc job projects or duties as assigned by the supervisor.

Job Requirements -

• GCE "N" or "O" level; ITE certification is an asset.
• Minimum 1 year of administrative experience in a related field.
• Proficient in MS Office applications, particularly Excel.
• Responsible, meticulous, and a team player with a positive learning attitude.

Manage the entire store operations, including receiving, storing, issuing, picking, packing, labeling, documenting, and delivering goods. Ensure smooth logistics operations with strong organizational skills and ability to arrange storage efficiently.