PySpark Developer

4 - 7 years

4 - 7 Lacs

Posted:1 day ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

PySpark Developer

Roles & Responsibilities:

  • Utilize strong working experience in

    Python programming

    to develop data processing solutions.
  • Apply expertise with the

    PySpark framework

    for big data processing.
  • Work extensively with

    AWS Glue and PySpark

    for building and managing data pipelines.
  • Use popular Python libraries such as

    pandas, numpy, and joblib

    to enhance data manipulation and processing.
  • Conduct

    parallel batch processing with Python

    to handle large-scale data.
  • Work with

    AWS Batch and Step Functions

    for orchestrating and managing data workflows.
  • Utilize knowledge of

    AWS ECS, ECR, and Docker

    for containerization and deployment.
  • Leverage knowledge of

    CloudWatch, Athena

    , and other AWS services for monitoring, analytics, and data management.
  • Collaborate with data scientists and other engineers to understand requirements and deliver efficient solutions.
  • Troubleshoot and optimize data processing jobs for performance and cost efficiency.

Skills Required:

  • Strong working experience in

    Python programming

    .
  • Expertise with

    PySpark framework

    .
  • Must have experience on

    AWS Glue and PySpark

    .
  • Strong experience with using

    pandas, numpy, joblib

    , and other popular libraries.
  • Good working experience with

    parallel batch processing with Python

    .
  • Good working experience on

    AWS Batch and Step Functions

    .
  • Good experience on

    AWS ECS, ECR, Docker

    .
  • Good knowledge on

    CloudWatch, Athena

    , and other AWS services.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.

QUALIFICATION:

  • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

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