Get to know the Role
We are seeking a visionary Data Engineer to join our innovative team in Jakarta Indonesia. As a key member of our data engineering department you will be responsible for designing implementing and maintaining our data infrastructure to support critical business decisions and drive organizational growth.
The Critical Tasks You Will Perform
Design and and develop robust scalable data pipelines to ensure seamless data flow across multiple systems
Write functionally correct modular and maintainable SQL queries and data transformation code (Spark)
Work with common data storage systems and databases including data warehouses and distributed data systems
Apply fundamental data modeling concepts to simple and moderately complex datasets
Collaborate with diverse teams including Data Scientists Analysts and Software Engineers to deliver data solutions
Participate in code reviews to maintain data pipeline quality and share knowledge
Respond promptly to data pipeline issues and maintain runbooks dashboards and alerts
Ensure data quality and reliability through appropriate testing and monitoring
Qualifications :
What Essential Skills You Will Need
Min 3 years of relevant experience in data engineering or related field
Proficiency in SQL for querying and manipulating large-scale datasets
Proficiency in programming language commonly used in data engineering (e.g. Python Scala or Java)
Experience with data pipeline frameworks and ETL tools (e.g. Apache Spark Airflow or similar)
Familiarity with data warehousing concepts and platforms (e.g. Hive Presto BigQuery or Snowflake)
Computer Science fundamentals in algorithms and data structures with capability to apply them to data problems
Understanding of data modeling principles and database design
Experience with version control systems like Git
Bachelors degree in Computer Science Information Systems or a related field
Additional Information :
Life at Grab
We care about your well-being at Grab here are some of the global benefits we offer:
- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
What We Stand For At Grab
We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality ethnicity race religion age gender family commitments physical and mental impairments or disabilities and other attributes that make them unique.
Remote Work :
No
Employment Type :
Full-time
Get to know the RoleWe are seeking a visionary Data Engineer to join our innovative team in Jakarta Indonesia. As a key member of our data engineering department you will be responsible for designing implementing and maintaining our data infrastructure to support critical business decisions and driv...
Get to know the Role
We are seeking a visionary Data Engineer to join our innovative team in Jakarta Indonesia. As a key member of our data engineering department you will be responsible for designing implementing and maintaining our data infrastructure to support critical business decisions and drive organizational growth.
The Critical Tasks You Will Perform
Design and and develop robust scalable data pipelines to ensure seamless data flow across multiple systems
Write functionally correct modular and maintainable SQL queries and data transformation code (Spark)
Work with common data storage systems and databases including data warehouses and distributed data systems
Apply fundamental data modeling concepts to simple and moderately complex datasets
Collaborate with diverse teams including Data Scientists Analysts and Software Engineers to deliver data solutions
Participate in code reviews to maintain data pipeline quality and share knowledge
Respond promptly to data pipeline issues and maintain runbooks dashboards and alerts
Ensure data quality and reliability through appropriate testing and monitoring
Qualifications :
What Essential Skills You Will Need
Min 3 years of relevant experience in data engineering or related field
Proficiency in SQL for querying and manipulating large-scale datasets
Proficiency in programming language commonly used in data engineering (e.g. Python Scala or Java)
Experience with data pipeline frameworks and ETL tools (e.g. Apache Spark Airflow or similar)
Familiarity with data warehousing concepts and platforms (e.g. Hive Presto BigQuery or Snowflake)
Computer Science fundamentals in algorithms and data structures with capability to apply them to data problems
Understanding of data modeling principles and database design
Experience with version control systems like Git
Bachelors degree in Computer Science Information Systems or a related field
Additional Information :
Life at Grab
We care about your well-being at Grab here are some of the global benefits we offer:
- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
What We Stand For At Grab
We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality ethnicity race religion age gender family commitments physical and mental impairments or disabilities and other attributes that make them unique.
Remote Work :
No
Employment Type :
Full-time
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