Job Overview :

We are looking for an experienced Big Data Developer / Senior Data Engineer to design, build, and optimize scalable data pipelines on the AWS ecosystem.

The ideal candidate will have strong hands-on expertise in AWS Glue, Scala, and SQL and experience working with large-scale data processing systems.

You will work closely with data architects, analytics teams, and business stakeholders to deliver reliable, high-performance data solutions that support analytics, reporting, and AI/ML use cases.

Key Responsibilities :

- Design, develop, and maintain scalable data pipelines using AWS Glue and related AWS services

- Build and optimize ETL/ELT workflows for structured and semi-structured data

- Develop high-performance data processing logic using Scala

- Write complex and optimized SQL queries for data transformation, validation, and reporting

- Ensure data quality, consistency, and reliability across data pipelines

- Work with large datasets and ensure performance tuning and cost optimization on AWS

- Collaborate with cross-functional teams including data scientists, analysts, and cloud engineers

- Troubleshoot production issues and ensure smooth data operations

- Follow best practices for data engineering, security, and governance

Mandatory Skills :

- AWS (Strong hands-on experience)

- AWS Glue (ETL development is mandatory)

- Scala (for data processing)

- SQL (advanced query writing and optimization)