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Data/ETL Engineer

Ascendion·Bengaluru

Pay not stated6–11 yrsFull-time

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About the role

The below mentioned is the illustrated job description, that we should refer to for a Data Engineer Profile, (highlighted are the key skills we need)- The ideal candidate will have expertise in Glue, Data Catalog, Athena, DynamoDB, Lambda, S3, RDS (PostgreSQL), ECS, SQS, SNS, CloudFront, and IAM roles.

What you'll do

  • Develop, deploy, and manage scalable ETL/ELT pipelines using AWS Glue and PySpark
  • Work with AWS Data Catalog for metadata management and data discovery
  • Optimize query performance and data analysis workflows using AWS Athena
  • Implement serverless data workflows using AWS Lambda for real-time and batch data processing
  • Design and manage relational databases on AWS RDS (PostgreSQL) and non-relational databases on DynamoDB

What you need

  • 6–11 yrs of experience
  • ETL
  • Python
  • SQL
  • AWS
  • Spark
  • Terraform
  • Any graduate

Good to have

  • DynamoDB
  • PostgreSQL
  • IAM
  • Git
  • CI/CD

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