AWS Data Engineer

Benefits

• Hybrid
• Long Term
• Opportunity for advancement

Senior Data Engineer

Location:

Dallas, TX (Hybrid—3 days onsite). Duration:
Long-term Project. Interview:
In-person.

• Migrate data from On-prem to AWS Redshift with zero data loss.
• Build batch and real-time data pipelines using Python.
• Set up and manage Kafka on AWS for streaming data.
• Automate ETL workflows using AWS Glue and store data in S3.
• Design data solutions in Redshift for fast querying.
• Create reusable frameworks to reduce development time and improve code.
• Build dashboards and reports for client data insights.
• Use Git Lab CI/CD for testing and deployments.
• Work with AWS tools like Lambda, SQS, SNS, Glue, DynamoDB, Open Search, and more.
• Develop tools to generate mock data (JSON, CSV, XML).
• Deploy containerized apps using Kubernetes.
• Follow best practices to ensure data security and compliance.

• Strong experience in Python and cloud technologies - AWS.
• Good understanding of Kafka, ETL, and data warehouses.
• Familiarity with CI/CD, boto3, and Kubernetes is a big plus.
• Flexible work from home options available.