Data Engineer

8 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Data Engineer l Mumbai ll 5+ yrs


About Us

CodeVyasa is a mid-sized product engineering company that works with top-tier product and solutions organizations such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are a team of 550+ engineers, driving innovation across Product & Data Engineering, focusing on Agentic AI, RPA, Full Stack, and GenAI-based solutions


Key Responsibilities

  • Design and implement

    data ingestion and transformation pipelines

    using AWS Glue, PySpark, and other AWS services.
  • Build, manage, and optimize

    ETL workflows

    for structured and unstructured data sources.
  • Work with large-scale datasets to ensure

    data accuracy, consistency, and reliability

    .
  • Collaborate with data analysts, architects, and business teams to deliver

    data solutions

    aligned with business needs.
  • Implement

    data quality, monitoring, and performance optimization

    strategies.
  • Manage data storage and retrieval using services like

    S3, Redshift, Athena, and Lambda

    .
  • Ensure security and compliance for all data processes on AWS.


Required Skills & Experience

  • 5–8 years of experience as a

    Data Engineer

    , with strong hands-on expertise in

    AWS ecosystem

    .
  • Proficient in

    AWS Glue, Python, PySpark, and SQL

    .
  • Strong understanding of

    data warehousing concepts

    and

    ETL best practices

    .
  • Experience with

    data lake architecture

    and

    data modeling

    on AWS.
  • Familiarity with

    CI/CD pipelines

    , version control (Git), and Agile development practices.
  • Excellent communication and problem-solving skills.


Why Join CodeVyasa?

● Work on innovative, high-impact projects with leading global clients.

● Exposure to modern technologies, scalable systems, and cloud-native architectures.

● Continuous learning and upskilling opportunities through internal and external programs.

● Supportive and collaborative work culture with flexible policies.

● Competitive salary and comprehensive benefits package.

● Free healthcare coverage for employees and dependents.

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