Data Engineer - Malvern, PA

Data Engineer - Malvern, PA

Posted 2 weeks ago by TechniPros, LLC

Negotiable
Undetermined
Undetermined
Remote or Malvern, Pennsylvania

Summary: The Data Engineer role involves designing, developing, and optimizing scalable data solutions on AWS. The position requires expertise in AWS data services, ETL/ELT development, and big data processing using Python and PySpark. The ideal candidate will work with cross-functional teams in an Agile environment to ensure data quality and consistency. This is a long-term contract position with a focus on AWS technologies.

Key Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT pipelines using AWS services.
  • Build and optimize data processing workflows using AWS Glue, PySpark, and Python.
  • Develop and manage data warehouses using Amazon Redshift and related AWS technologies.
  • Integrate data from multiple sources and ensure data quality and consistency.
  • Work with large datasets stored in Amazon S3 and query data using Athena.
  • Implement automation and monitoring solutions using AWS Lambda and other AWS services.
  • Collaborate with cross-functional teams in an Agile environment.
  • Utilize Git and CI/CD pipelines for code management and deployment.

Key Skills:

  • AWS Glue (Crawlers, Data Catalog, ETL Jobs)
  • Python and PySpark
  • SQL and Data Warehousing
  • Amazon S3, Athena, Redshift, and Lambda
  • ETL/ELT Pipeline Development
  • Data Modeling and Data Integration
  • Git and CI/CD Tools
  • Agile/Scrum Methodologies

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Job Title: Data Engineer
Long term Contract
Location: Malvern, PA/Wilmington, DE/Cherry Hill, NJ/ New York City, NY/Norwalk, CT.
Can do Only W2, No C2C

Job Description:
We are seeking an experienced AWS Data Engineer to design, develop, and optimize scalable data solutions on AWS. The ideal candidate will have strong expertise in AWS data services, ETL/ELT development, data warehousing, and big data processing using Python and PySpark.

Required Skills:

  • AWS Glue (Crawlers, Data Catalog, ETL Jobs)
  • Python and PySpark
  • SQL and Data Warehousing
  • Amazon S3, Athena, Redshift, and Lambda
  • ETL/ELT Pipeline Development
  • Data Modeling and Data Integration
  • Git and CI/CD Tools
  • Agile/Scrum Methodologies

Key Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT pipelines using AWS services.
  • Build and optimize data processing workflows using AWS Glue, PySpark, and Python.
  • Develop and manage data warehouses using Amazon Redshift and related AWS technologies.
  • Integrate data from multiple sources and ensure data quality and consistency.
  • Work with large datasets stored in Amazon S3 and query data using Athena.
  • Implement automation and monitoring solutions using AWS Lambda and other AWS services.
  • Collaborate with cross-functional teams in an Agile environment.
  • Utilize Git and CI/CD pipelines for code management and deployment.

Best Regards:

Tina
Phone:
Email: