Description

Role Overview
 

We are seeking a hands-on Data Engineer with strong Python and AWS experience to build and maintain data pipelines and connectivity solutions across enterprise data platforms. This role focuses on developing reliable data integrations and supporting data lake and lakehouse technologies rather than designing enterprise architecture.
 

Key Responsibilities
 

• Build and maintain data pipelines using Python and AWS services.
   
• Develop data ingestion and connectivity solutions for enterprise data platforms.
   
• Work with AWS data lake services, including S3, Glue, and Lake Formation.
   
• Use AWS CLI and EC2 to support data engineering workloads.
   
• Implement and maintain CI/CD pipelines using Jenkins and Bitbucket.
   
• Troubleshoot data pipeline issues and improve data quality and reliability.
   
• Collaborate with platform and engineering teams to support shared data services.
   
• Contribute to data platform solutions involving Apache Iceberg, Snowflake, and Databricks, as needed.
   

Required Skills
 

• Strong hands-on Python programming experience.
   
• Practical AWS experience with S3, AWS CLI, EC2, Glue, and Lake Formation.
   
• Understanding of data lakes and data pipeline development.
   
• Experience with CI/CD pipelines, Jenkins, and Bitbucket.
   
• Ability to build, test, troubleshoot, and maintain production data pipelines.
   

Preferred Skills:
 

• Snowflake, Databricks, and Apache Iceberg.
   
• AWS Bedrock and exposure to AI agentic workflows.
   
• Terraform, PySpark, or Apache Spark

Key Skills

Education

Any Graduate