We're hiring a hands-on AWS Data Engineer/Architect to build scalable data pipelines and models on AWS from raw ingestion to business-ready datasets powering reporting and analytics.
Key Responsibilities
- Build and maintain data lake pipelines on AWS using Medallion (Bronze-Silver-Gold) architecture
- Develop ETL/ELT pipelines using AWS Glue (Glue Jobs, Crawlers, Catalog)
- Design dimensional data models (fact/dimension tables, star schema)
- Implement SCD1/SCD2 logic for historical data tracking
- Apply PII masking and data governance in collaboration with compliance teams
- Consolidate multi-region/multi-source data into common dimensions
- Ensure data quality through validation, reconciliation, and monitoring
- Collaborate with BI and Data Science teams on shared datasets
Required Skills
- 8+ years in data engineering, with strong hands-on AWS experience (Glue, S3, Redshift/Athena, Lake Formation)
- Proven expertise in AWS Glue (PySpark/Python)
- Solid grasp of dimensional modeling (fact/dimension, star schema)
- Hands-on experience with SCD1 & SCD2 implementation
- Experience with PII masking/anonymization
- Experience in data quality management (validation, reconciliation, monitoring)
- Strong communication skills to explain technical decisions to stakeholders
Good to Have
- HR/workforce analytics experience
- Orchestration tools (Airflow/MWAA, Step Functions)
- Experience scaling data platforms across multiple countries/regions
Thank you!
📌 AWS Data Engineer / Data Architect (Hyderabad)
🏢 Contenterra Software
📍 Hyderabad
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.