Senior Data Engineer

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to know the Team

Lending team at Grab is dedicated to building safe, secure, and loan products catering to all user segments across SEA. Our mission is to promote financial inclusion and support underbanked partners across the region. Data plays a pivotal role in our lending operations, guiding decisions across credit assessment, collections, reporting, and beyond

You will report to the Lead Data Engineer. This role is based in Bangalore.

Get to Know the Role:

As the Data engineer in the Lending Data Engineering team, you will work with data modellers, product analytics, product managers, software engineers and business stakeholders across the SEA in understanding the business and data requirements. You will build and manage the data asset, including acquisition, storage, processing and use channels, and using some of the most scalable and resilient open source big data technologies like Flink, Airflow, Spark, Kafka, Trino and more on cloud infrastructure. You are encouraged to think out of the box and have fun exploring the latest patterns and designs.

The Critical Tasks You will Perform:

• Develop scalable, reliable ETL pipelines to ingest data from diverse sources.
• Build expertise in real-time data availability to support accurate real-time metric definitions.
• Implement data quality checks and governance best practices for data cleansing, assurance, and ETL operations. Use existing data platform tools to set up and manage pipelines.
• Improve data infrastructure performance to ensure, reliable insights for decision-making. Design next-gen data lifecycle management tools/frameworks for batch, real-time, API-based, and serverless use cases.
• Build solutions using AWS services like Glue, Redshift, Athena, Lambda, S3, Step Functions, EMR, and Kinesis.
• Use tools like Amazon MSK/Kinesis for real-time data processing and metric tracking.

Qualifications

Essential Skills You'll Need:

• 4+ years of experience building scalable, secure, distributed, and data pipelines.
• Proficiency in Python, Scala, or Java for data engineering solutions.
• Knowledge of big data technologies like Flink, Spark, Trino, Airflow, Kafka, and AWS services (EMR, Glue, Redshift, Kinesis, and Athena).
• Solid experience with SQL, data modelling, and schema design.
• Hands-on with AWS storage and compute services (S3, DynamoDB, Athena, and Redshift Spectrum).
• Experience working with NoSQL, Columnar, and Relational databases.
• Curious and eager to explore new data technologies and solutions.
• Familiarity with in-house and AWS-native tools for efficient pipeline development.
• Design event-driven architectures using SNS, SQS, Lambda, or similar serverless technologies.
• Experience with data structures, algorithms, or ML concepts.

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 life's challenges.

What We Stand For at Grab

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.