AWS Developer (Glue and Lambda)

AWS Developer (Glue and Lambda)

Posted 6 days ago by 1755085005

Negotiable
Outside
Remote
USA

Summary: The role of AWS Glue Developer with Lambda focuses on designing and developing scalable, serverless ETL pipelines using AWS Glue and AWS Lambda. The candidate is expected to have strong programming and debugging skills, along with hands-on experience in relevant AWS services. This position is fully remote and emphasizes the integration of various AWS services to optimize job performance and ensure data reliability.

Key Responsibilities:

  • Develop and maintain ETL workflows using AWS Glue.
  • Build and deploy event-driven functions using AWS Lambda.
  • Integrate with services like S3, DynamoDB, CloudWatch, and Step Functions.
  • Optimize job performance and ensure data reliability.

Key Skills:

  • Strong hands-on experience with AWS Glue and AWS Lambda.
  • Proficient in Python or PySpark.
  • Familiarity with AWS services: S3, CloudWatch, IAM, etc.
  • Experience with serverless data architecture and ETL best practices.
  • Strong debugging and problem-solving skills.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role: AWS Glue Developer with Lambda
Location: Remote

Job Description:
We are seeking a skilled AWS Glue Developer with AWS Lambda experience to design and develop scalable, serverless ETL pipelines. The ideal candidate will have hands-on experience with AWS Glue (PySpark or Spark) and AWS Lambda, along with strong programming and debugging skills.

Responsibilities:
Develop and maintain ETL workflows using AWS Glue.

Build and deploy event-driven functions using AWS Lambda.

Integrate with services like S3, DynamoDB, CloudWatch, and Step Functions.

Optimize job performance and ensure data reliability.

Requirements:
Strong hands-on experience with AWS Glue and AWS Lambda.

Proficient in Python or PySpark.

Familiarity with AWS services: S3, CloudWatch, IAM, etc.

Experience with serverless data architecture and ETL best practices.

Strong debugging and problem-solving skills.