Data Engineer - AWS&Snowflake
Letitbex AI (company site, opens in a new tab)3+ yrsHyderabadOn-siteDirect career pageEst. 6–12 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, maintain, and support business intelligence backend systems including data warehouses and data lakes using AWS, PySpark, and Snowflake.
- Build and enhance ETL frameworks and data pipelines leveraging AWS services like Lambda, Glue, SNS, SQS, and Step Functions to support data integration and transformation.
- Collaborate with business and platform teams to align data solutions with requirements, propose best practices, perform troubleshooting, and ensure scalability and cost optimization.
Minimum Requirements
- Minimum 3+ years of experience in application design, development, and analysis with expertise in AWS cloud technology stack and Snowflake.
- Bachelor's or Master's degree in Computer Science or equivalent experience.
- Experience with AWS services (Lambda, Glue, PySpark, SNS, SQS, Step Functions), GCP, and implementing data transformations for data warehouse and lakes.
- Location Hyderabad (Hybrid); Notice period consideration up to 20 days.
Ideal Candidate Profile
- Hands-on expertise in AWS cloud solutions and PySpark for building and optimizing ETL frameworks and data pipelines at scale.
- Experience working closely with business stakeholders for data integration, governance, and alignment with corporate technology strategies.
- Capable of independent decision-making, proactive problem-solving, and identifying cost optimization in complex data engineering environments.