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Paltech

AWS Data Engineer

Paltech
Hyderabad, India
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Job Description

Key Responsibilities

  • Develop and maintain data pipelines using PySpark and AWS Glue.
  • Build serverless data processing solutions using AWS Lambda.
  • Design and optimize data storage and analytics solutions on S3, Athena, Redshift, and DynamoDB.
  • Implement ETL/ELT processes for data ingestion and transformation.
  • Ensure data quality, performance, and reliability across data platforms.
  • Collaborate with cross-functional teams to understand and deliver business requirements.
  • Monitor, troubleshoot, and support production data workflows.

Required Skills

  • Strong experience with Python and PySpark.
  • Strong expertise of optimizations
  • Hands-on experience with AWS Glue, Lambda, S3, Athena, Redshift, and DynamoDB.
  • Strong SQL and data analysis skills.
  • Experience building and optimizing large-scale data pipelines.
  • Good understanding of data warehousing and data lake concepts.

Good to Have

  • Experience with Git and CI/CD pipelines.
  • Knowledge of Infrastructure as Code (Terraform or CloudFormation).
  • Experience with data quality and data governance frameworks.
  • AWS certifications.
  • Exposure to real-time or event-driven data processing solutions.

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Data Engineering
Employment Type:
Full time

About Company

Paltech

Job ID: 149263067

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Last Updated: 17-06-2026 05:34:29 PM
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