As a Cloud Data Engineer, you will design, build, and optimise data warehouses, data lakes, and data marts for large financial institutions. You will work closely with technology and business leads to enhance critical enterprise applications across on‑prem environments and AWS, leveraging the Up-to-date Data Stack including Snowflake and Starburst to deliver scalable, high‑quality data solutions.

What You’ll Do and How You’ll Succeed

Manage data analysis and integration across disparate systems.
Translate functional specifications from business users into technical designs for implementation and deployment.
Extract, transform, and load large volumes of structured and unstructured data into AWS data lakes or data warehouses.
Work with cross‑functional teams to develop prototypes, produce design artefacts, develop components, support SIT and UAT testing, triage issues, and perform bug fixing.
Optimise and fine‑tune data pipeline jobs for performance and scalability.
Implement data quality and validation processes to ensure data accuracy and integrity.




Provide problem‑solving expertise and perform complex analysis to design business intelligence integrations.
Convert physical data integration models and design specifications into source code.
Ensure high performance and quality of data integration systems to meet business requirements.

We’d Love to Hear From You If…

Experience
You have a bachelor’s degree in IT, Information Systems, Computer Science, Software Engineering, or a related field.
You have 5+ years of experience as a Data Engineer, with strong experience building data pipelines and processing large datasets.
You have experience working with data lakes, data warehouses, and distributed computing systems.
You have experience in the financial services or banking industry (preferred).

Technical Expertise
You have 5+ years of strong proficiency in AWS services such as AWS Glue, Redshift, EMR, RDS, Kinesis, S3, Athena, DynamoDB, Step Functions, and Lambda.
You ha

📌 Cloud Data Engineer (India)
🏢 Thakral One
📍 India