AWS Data Engineer

London, UK

Permanent

Strong experience in Python, PySpark, AWS S3, AWS Glue, Databricks, Amazon Redshift, DynamoDB, CI/CD and Terraform.

• Total 7 + years of experience in Data engineering is required.
• Design, develop, and optimize ETL pipelines using AWS Glue, Amazon EMR and Kinesis for real-time and batch data processing.
• Implement data transformation, streaming, and storage solutions on AWS, ensuring scalability and performance.
• Collaborate with cross-functional teams to integrate and manage data workflows.
• Skill-set Amazon Redshift, S3, AWS Glue, Amazon EMR, Kinesis Analytics
• Ensure data security, compliance, and best practices in cloud data engineering
• Experience with programming languages such as Python, Java, or Scala.