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Sr. Software Engineer - AWS Data Pipeline

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Onsite

Sr. Software Engineer - AWS Data Pipeline

Yash Technologies

Sr. Software Engineer - AWS Data Pipeline

Skills

SQL QueriesData EngineeringDockerPythonMySQLAWS LambdaAWSKubernetesPySpark

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

4 September 2026

What they need


We are looking forward to hire AWS Data Pipeline Professionals in the following areas :

AWS Data Developer (Python / PySpark)

Exp : 5+ Years

Job Summary

We are seeking a highly skilled AWS Data Developer with strong expertise in Python, PySpark, and AWS data services to design and build scalable data processing solutions. The ideal candidate will be responsible for developing robust ETL pipelines, optimizing data workflows, and leveraging AWS services to support business.

Key Responsibilities

  • Design and implement scalable data pipelines using AWS services
  • Develop ETL workflows using AWS Glue, PySpark, and Python
  • Build serverless data processing solutions using AWS Lambda
  • Orchestrate workflows using AWS Step Functions
  • Manage and optimize data storage in AWS S3
  • Work with relational databases like AWS RDS (MySQL)
  • Ensure data quality, validation, and governance
  • Optimize performance and cost of data pipelines
  • Debug and troubleshoot data-related issues
  • Collaborate with cross-functional teams (Data Analysts, Architects, DevOps)

Required Skills Experience

  • 5+ years of experience in data engineering / AWS development

  • Strong proficiency in Python

  • Hands-on experience with PySpark for large-scale data processing

  • Expertise in AWS services:

  • AWS Glue (ETL jobs)

  • AWS Lambda

  • AWS Step Functions

  • AWS Athena

  • AWS S3

  • AWS RDS (MySQL)

  • Strong knowledge of SQL and data querying

  • Familiarity with IAM roles and AWS security best practices

Preferred Skills

  • AWS Certification (e. g. , AWS Certified Data Engineer / Developer)
  • Experience with CI/CD pipelines and DevOps tools
  • Familiarity with Docker / Kubernetes

Our Hyperlearning workplace is grounded upon four principles

  • Flexible work arrangements, Free spirit, and emotional positivity
  • Agile self-determination, trust, transparency, and open collaboration
  • All Support needed for the realization of business goals,
  • Stable employment with a great atmosphere and ethical corporate culture

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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