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
- Robust 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

📌 Senior Data Engineer - AWS (Bengaluru)
🏢 DataZymes Analytics
📍 Bengaluru