Lead Data Engineer Job at Openkyber, Atlanta, GA

  • Openkyber
  • Atlanta, GA

Job Description

Employment Type: Full-Time Experience: 10+ Years Location: Hybrid NY/NJ Job Overview EXL is looking for a Senior AWS Analytics Engineer with 10+ years of experience in data engineering, ETL, and cloud-based data platforms. The ideal candidate should have hands-on experience building and supporting data pipelines using AWS services, Python, SQL, and Spark/PySpark.

Key Responsibilities
  • Develop and maintain data pipelines and ETL processes using AWS services.
  • Work with AWS S3, AWS Glue, and Amazon Redshift for data ingestion, transformation, and storage.
  • Develop data transformations using Python, SQL, and PySpark/Spark .
  • Build and maintain batch data processing workflows.
  • Use AWS Step Functions to orchestrate data pipelines and workflows.
  • Support AWS infrastructure and deployments using CloudFormation .
  • Troubleshoot data pipeline failures and resolve data-quality and performance issues.
  • Work with large datasets and optimize data processing jobs.
  • Collaborate with senior data engineers, architects, analysts, and business teams.
  • Follow data engineering, security, monitoring, and CI/CD best practices.
Required Skills
  • 10+ years of experience in Data Engineering / Cloud Data Engineering
  • Hands-on experience with AWS Amazon S3 AWS Glue Amazon Redshift Python SQL Apache Spark / PySpark AWS Step Functions AWS CloudFormation
  • Strong understanding of ETL/ELT and data pipelines

For applications and inquiries, contact:hirings@openkyber.com

Job Tags

Full time

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