Data Engineer (5842)
Quarks Technosoft3–5 yrsHyderabadOn-siteDirect career pageEst. 6–12 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, maintain, and enhance business intelligence data backend including data warehouses and data lakes using AWS, PySpark, Glue, and Snowflake.
- Build, optimize, and troubleshoot ETL frameworks and data pipelines utilizing AWS Services such as Lambda, SNS, SQS, Glue, Step Functions, and PySpark.
- Collaborate with business teams and platform teams to ensure data integration, compliance with best practices, and alignment with reporting and analysis needs.
Minimum Requirements
- 3+ years of experience in application design, development, and analysis focusing on data engineering.
- Strong hands-on experience with AWS Cloud technologies including Lambda, Glue, PySpark, SNS, SQS, Step Functions, and Snowflake.
- Bachelor’s or Master’s degree in Computer Science or equivalent experience.
- Experience in designing and managing ETL frameworks and data pipelines on cloud platforms (AWS and GCP).
Ideal Candidate Profile
- Pragmatic and independent decision-maker comfortable handling data engineering solutions end-to-end including problem solving and cost optimization of ETL pipelines.
- Experience interfacing across multiple stakeholders in business and IT with the ability to communicate complex technical concepts effectively.
- Experience or familiarity with Agile work environments and retail industry data scenarios preferred.