Data Engineer

We are working with a rapidly expanding global IT consulting and digital solutions provider, empowering enterprises with disruptive technologies and innovative strategies.

The Role

• Develop and maintain scalable data pipelines using AWS services.
• Implement ETL processes and ensure data quality and integrity.
• Optimize data models and queries for performance.
• Collaborate with development teams on data-related solutions.
• Utilize Python and PySpark for advanced data processing tasks.

What You'll Need

• Strong experience in Python and PySpark for large-scale data processing.
• Proven hands-on experience with AWS services including Lambda, SNS, SQS, Glue, Redshift, and Step Functions.
• Solid SQL skills and familiarity with data modeling and query optimization.
• Experience with ETL best practices, data quality checks, and monitoring/alerting.
• Familiarity with version control (Git) and basic DevOps/CI/CD workflows.

What's On Offer

• Opportunity to work with cutting-edge AWS technologies.
• Be part of a dynamic and innovative global team.
• Professional growth and development in a fast-paced environment.

Apply via Haystack today!