AWS Data Engineer

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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.

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