qode.world

Data Engineer, AWS Glue

qode.world

full-time

Posted on:

Origin:  • 🇺🇸 United States • New York, South Carolina

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Job Level

SeniorLead

Tech Stack

Amazon RedshiftAWSCloudETLJenkinsPySparkPythonScalaSQLTableau

About the role

  • Seeking a highly skilled AWS Glue Data Engineer to design, develop, and optimize large-scale ETL pipelines and workflows on AWS for enterprise data solutions.
  • Design, develop, and maintain ETL pipelines using AWS Glue, Glue Studio, and Glue Catalog.
  • Ingest, transform, and load large datasets from structured and unstructured sources into AWS data lakes/warehouses.
  • Work with S3, Redshift, Athena, Lambda, and Step Functions for data storage, query, and orchestration.
  • Build and optimize PySpark/Scala scripts within AWS Glue for complex transformations.
  • Implement data quality checks, lineage, and monitoring across pipelines.
  • Collaborate with business analysts, data scientists, and product teams to deliver reliable data solutions.
  • Ensure compliance with data security, governance, and regulatory requirements (BFSI preferred).
  • Troubleshoot production issues and optimize pipeline performance.

Requirements

  • 12+ years of experience in Data Engineering, with at least 5+ years on AWS cloud data services.
  • Strong expertise in AWS Glue, S3, Redshift, Athena, Lambda, Step Functions, CloudWatch.
  • Proficiency in PySpark, Python, SQL for ETL and data transformations.
  • Experience in data modeling (star, snowflake, dimensional models) and performance tuning.
  • Hands-on experience with data lake/data warehouse architecture and implementation.
  • Strong problem-solving skills and ability to work in Agile/Scrum environments.
  • Experience in BFSI / Wealth Management domain (preferred).
  • AWS Certified Data Analytics – Specialty or AWS Solutions Architect certification (preferred).
  • Familiarity with CI/CD pipelines for data engineering (CodePipeline, Jenkins, GitHub Actions) (preferred).
  • Knowledge of BI/Visualization tools like Tableau, Power BI, QuickSight (preferred).
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field; Master’s preferred.