Role & responsibilities Strong hands-on AWS data engineering experience, including AWS S3 and AWS Glue.
- Hands-on coding proficiency in Python, PySpark and SQL.
- Experience in Databricks and Delta Lake-based data processing.
- Practical data-modeling experience for analytics and reporting use cases.
- Experience implementing CI/CD pipelines in AWS using CodePipeline, CodeBuild, CodeDeploy or equivalent tools.
- Working knowledge of Git and Infrastructure as Code using Terraform or AWS CloudFormation.
- Valuable communication, problem-solving and client-interaction skills.
📌 Aws Data Engineer (Bengaluru)
🏢 Pi Square Technologies
📍 Bengaluru
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