AWS Data Engineer

We're working with a global IT consulting and digital solutions company that helps businesses leverage technology for growth and efficiency. They are known for their innovative approach to cloud, data, and automation.

The Role

• Develop and maintain scalable data pipelines using AWS services.
• Implement large-scale data processing solutions with Python and Pyspark.
• Design and optimize SQL queries for data modeling and extraction.
• Ensure data quality and integrity through robust ETL practices.
• Collaborate with teams on version control and CI/CD workflows.

What You'll Need

• Strong experience with Python and Pyspark for large-scale data processing.
• Proven hands-on experience with AWS services like 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 data technologies.
• Contribute to impactful projects within a leading technology services firm.
• Dynamic and collaborative work environment.

Apply via Haystack today!