Senior Data Engineer - AWS

Role: Data Engineer
Experience: 4–8 Years | Domain: Data Warehousing / Cloud Data Engineering

About the Role
We're looking for a Data Engineer to build and maintain scalable data warehouses, design robust ETL/ELT pipelines, and enable analytics that drive leadership decisions.

Key Responsibilities

• Design and maintain ETL/ELT pipelines and multi-dimensional data models (Star/Snowflake Schema)
• Build scalable data warehouses — Fact tables, Dimensional tables — on cloud platforms
• Set up and manage data ingestion, streaming, and automation using AWS (Lambda, Glue, S3, Redshift, EMR)
• Optimize data using PARQUET compression and advanced SQL tuning
• Build analytics tools supporting customer acquisition, operations, and business KPIs
• Maintain version control and CI/CD workflows using GitHub

Requirements

• 4–8 years in data engineering with advanced SQL and relational/NoSQL database experience
• Strong hands-on expertise with AWS Redshift, Glue, EMR, Lambda, S3, PySpark
• Experience in schema design, data modeling, OLAP cube modeling, and normalization
• Proven track record building and optimizing big data pipelines and architectures
• Working knowledge of message queuing, stream processing, and scalable big data stores
• Experience with GitHub, CI/CD, and agile delivery models

Education: Bachelor's/Master's in Computer Science or related field