Aws Data Engineer-Female Hiring

2 - 5 years

Hyderabad Pune Bengaluru

Posted:1 week ago

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Job Description

Position:

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Roles & Responsibilities

  • Design, develop, and maintain scalable data pipelines using AWS services such as Glue, EMR, Lambda, S3, and Redshift.
  • Build and manage ETL/ELT workflows to extract, transform, and load data from multiple sources.
  • Develop batch and real-time data processing solutions using Spark, PySpark, Kafka, and Kinesis.
  • Create and optimize data warehouse and data lake architectures.
  • Perform data modeling and database design for analytics and reporting requirements.
  • Ensure data quality, integrity, governance, and security across the data platform.
  • Optimize SQL queries, Spark jobs, and AWS resources for performance and cost efficiency.
  • Implement infrastructure as code (IaC) using Terraform or CloudFormation.
  • Automate deployment processes through CI/CD pipelines using Jenkins, GitHub Actions, or AWS DevOps tools.
  • Monitor data pipelines and cloud resources using CloudWatch and other monitoring tools.
  • Troubleshoot production issues and perform root cause analysis.
  • Collaborate with Data Scientists, BI Developers, Analysts, and Business Stakeholders.
  • Implement AWS IAM policies and security best practices.
  • Manage large-scale structured and unstructured datasets in cloud environments.
  • Support data migration projects from on-premises systems to AWS cloud.

Skills Required

Hiring Lambda Expressions Data Engineering ETL Development Engineering Athena Redshift AWS Glue

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