10 Data Warehouse jobs in Singapore

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.
#J-18808-Ljbffr

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.

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.

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.
#J-18808-Ljbffr

Crypto Jobs

About the Role:

Binance is seeking a seasoned Data Engineer to lead the design and optimization of its enterprise-scale data warehouse. You'll work with petabyte-scale data, build high-performance ETL pipelines, and support data governance and metadata systems.

Key Responsibilities:

• Design and implement scalable data warehouse architectures
• Build and optimize batch ETL jobs and data models
• Lead governance through metadata and quality monitoring tools
• Collaborate cross-functionally and mentor team members

Requirements:

• 5+ years in data warehousing and Big Data platforms
• Expertise in Hive, Spark, and languages like Python, Java, or Scala
• Experience with tools like Hadoop, Kafka, Delta Lake, Airflow, Redis
• Strong data modeling and system design skills
• Bilingual in English and Mandarin required

Why Binance:

• Work with the world’s leading blockchain ecosystem
• Join global, fast-paced projects with autonomy and innovation
• Competitive salary, benefits, and hybrid work flexibility

Crypto Jobs

• 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).

• Experience resolving critical production incidents .

• 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).

Crypto Jobs

• 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).

• Experience resolving critical production incidents .

• 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).

As a seasoned professional in the field of data warehousing, your primary duties will include designing and implementing end-to-end software solutions for large-scale projects and change requests. You will be responsible for supporting users by addressing performance issues or providing query responses.

• Develop frameworks to build data pipelines using Pyspark, Scala, and Java.
• Implement Hadoop-based Data marts using Spark-based frameworks.

Key Requirements

• Have good working experience in core technical areas using Python, Java, PySpark, and Scala.
• Be proficient in Cloudera CDH/CDP components.
• Develop Spark-based ingestion frameworks and build feature pipelines for AI/ML model execution and large-scale data warehouse/data mart support.

Added Advantage

Scripting knowledge in Bash, Python, and Perl can be beneficial for automating tasks.

Good technical knowledge of RHEL/Linux and Unix hardware, operating system, and system services is a plus.