AWS Data Engineer / Data Architect

Job Description: AWS Data Engineer / Data Architect

Experience: 8+ years

Location: Hyderabad

Employment Type: Full-Time

About the Role

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)
• Strong 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!