Senior Data Engineer

📋 Description

• Leverage large volumes of data from internal sources across the business
• Develop, maintain, and support production data pipelines (ETL, streaming, batch) using Python and
• Act as the engineering point of contact for business stakeholders, gathering and assessing their
• Ensure data architecture meets business and reporting requirements, including SLA commitments
• Recommend ways to deliver quality data more efficiently and identify opportunities to add value
• Run multiple concurrent pipeline projects and migrations from scoping through delivery

🎯 Requirements

• 4+ years of experience in data engineering, building and operating production data pipelines at
• Strong hands-on Python and SQL skills
• Knowledge of Big Data technologies such as PySpark, Presto, and Airflow
• Solid understanding of ETL and layered data warehousing patterns
• Fluency in written and spoken English
• Ability to analyze, synthesize, and simplify complex data problems for varied audiences

🎁 Benefits

• Term Life Insurance and comprehensive Medical Insurance
• GrabFlex: create a benefits package that suits your needs and aspirations
• Parental and Birthday leave
• Love-all-Serve-all (LASA) volunteering leave
• Confidential Grabber Assistance Programme
• FlexWork arrangements such as differentiated hours