7 - 11 years

15 - 25 Lacs

Posted:13 hours ago| Platform: Foundit logo

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Job Type

Full Time

Job Description

Job description

  • 7+ years

    of experience in data engineering or equivalent technical role.
  • 5+ years

    of hands-on experience with AWS Cloud Development and DevOps.
  • Strong expertise in

    SQL

    ,

    data modeling

    , and

    ETL/ELT pipelines

    .
  • Deep experience with

    Oracle

    (PL/SQL, performance tuning, data extraction).
  • Proficiency in

    Python

    and/or

    Scala

    for data processing tasks.
  • Strong knowledge of cloud infrastructure (networking, security, cost optimization).
  • Experience with

    infrastructure as code

    (Terraform).
  • Familiarity with CI/CD pipelines and DevOps tooling (e.g., Jenkins, GitHub Actions).

Roles & Responsibilities

:

  • Data Engineering & Architecture

  • Design, build, and maintain scalable data pipelines and data products.
  • Develop and optimize ELT/ETL processes using a variety of data tools and technologies.
  • Support and evolve data models that drive operational and analytical workloads.
  • Modernize legacy Oracle-based systems and migrate workloads to cloud-native platforms.
  • Cloud Development & DevOps (AWS-Focused)

  • Build, deploy, and manage cloud-native data solutions using AWS services (e.g., S3, Lambda, Glue, EMR, Redshift, Athena, Step Functions).
  • Implement CI/CD pipelines, IaC (e.g., Terraform or CloudFormation), and monitor cloud infrastructure for performance and cost optimization.
  • Ensure data platform security, scalability, and resilience in the AWS cloud.
  • Technical Leadership & Mentoring

  • Act as a subject matter expert on cloud-based data development and DevOps best practices.
  • Mentor data engineers on AWS architecture, infrastructure as code, and cloud-first design patterns.
  • Participate in code and architecture reviews, enforcing best practices and high-quality standards.
  • Cross-functional Collaboration

  • Work closely with product managers, data analysts, software engineers, and other stakeholders to understand business needs and deliver end-to-end solutions.
  • Support and evolve the roadmap for data platform modernization and new product delivery.

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