Data Engineer - AWS Databricks

Job Description :

About the Role / Position Summary :

We are hiring for a leading global digital transformation organization known for delivering large-scale enterprise data and cloud solutions to Fortune 500 clients. This role offers an opportunity to work on cutting-edge AWS and Databricks platforms, driving high-impact data engineering initiatives in a fast-paced, innovation-driven environment.

Key Responsibilities :

- Design, build, and optimize scalable data pipelines using AWS and Databricks.

- Develop robust ETL/ELT workflows using PySpark and Python.

- Work with large datasets to ensure high performance and data reliability.

- Implement data processing solutions on AWS services (S3, Glue, EMR, etc.).

- Collaborate with cross-functional teams including Data Science and Analytics.

- Ensure data quality, governance, and security standards.

- Troubleshoot performance issues and optimize existing pipelines.

- Participate in architecture discussions and solution design.

Requirements / Qualifications :

- 6-12 years of experience in Data Engineering.

- Minimum 4+ years of hands-on experience in:

1. AWS

2. Databricks

3. PySpark

4. Python

- Strong experience in building data pipelines and distributed processing systems.

- Good understanding of data warehousing concepts and big data frameworks.

- Experience with performance tuning and optimization.

Preferred Skills :

- Experience with streaming frameworks (Kafka, Kinesis).

- Exposure to Delta Lake / Lakehouse architecture.

- Knowledge of CI/CD pipelines in data engineering.

- Familiarity with Airflow or other orchestration tools.

Benefits :

- Opportunity to work on cutting-edge technologies.

- Collaborative and innovation-driven work environment.

Application Instructions :

- Immediate joiners only.

- Please submit your application with your resume and a cover letter.