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Lead Data Engineer

  • Lead Data Engineer job type Posted on: Oct 11, 2026
  • Lead Data Engineer experience level Openkyber
  • Lead Data Engineer employment type Atlanta, Georgia
  • Lead Data Engineer employment type Onsite
  • Lead Data Engineer salary Full-time

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Job Title :

Lead Data Engineer

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

Job Title: Lead Data Engineer
Work Location: Newark, New Jersey 07068
Contract duration: Long term contract

Required Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience.
  • 5+ years experience implementing and supporting data lakes, data warehouses, and data applications on AWS for large enterprises.
  • Strong programming experience with Python, Shell scripting, and SQL.
  • Solid experience with AWS services: CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager.
  • Experience in serverless application development and data pipeline orchestration.
  • Experience in system analysis, design, development, and implementation of data ingestion pipelines in AWS.
  • Knowledge of ETL/ELT, data modeling, and big data technologies.
  • Familiarity with data warehousing concepts and cloud-based architecture.
  • Strong problem-solving skills and attention to detail.

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 11, 2026

Reference Number:

105915-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Title: Lead Data Engineer
Work Location: Newark, New Jersey 07068
Contract duration: Long term contract

Required Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience.
  • 5+ years experience implementing and supporting data lakes, data warehouses, and data applications on AWS for large enterprises.
  • Strong programming experience with Python, Shell scripting, and SQL.
  • Solid experience with AWS services: CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager.
  • Experience in serverless application development and data pipeline orchestration.
  • Experience in system analysis, design, development, and implementation of data ingestion pipelines in AWS.
  • Knowledge of ETL/ELT, data modeling, and big data technologies.
  • Familiarity with data warehousing concepts and cloud-based architecture.
  • Strong problem-solving skills and attention to detail.

For applications and inquiries,

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