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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.