Posted:3 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

About the Role

Data Engineer

Responsibilities

  • Design, build, and maintain scalable data pipelines using

    AWS services

    (Redshift, Glue, S3, Lambda).
  • Write efficient, reusable

    Python

    and

    PySpark

    code for data processing and transformation.
  • Develop and optimize complex

    SQL

    queries for analytics and reporting.
  • Support business teams by creating and maintaining analytical datasets, views, and dashboards.
  • Collaborate with analysts to deliver insights via tools like

    Power BI

    (Plotly experience is a plus).
  • Ensure data quality, consistency, and reliability across systems.
  • Work in an

    Agile environment

    , participating in sprints, standups, and collaborative planning.

Requirements

  • 2–3 years

    of industry experience as a Data Engineer (or similar role).
  • Proficiency with

    AWS cloud services

    : Redshift, Glue, S3, Lambda.
  • Strong programming skills in

    Python

    and

    PySpark

    .
  • Advanced

    SQL

    skills with proven experience in performance tuning and query optimization.
  • Experience with

    data visualization / BI tools

    such as Power BI (Plotly is a plus).
  • Strong understanding of data warehousing and ETL best practices.
  • Experience working in an

    Agile software development environment

    .
  • Good communication skills and ability to collaborate across teams.

Nice to Have

  • Exposure to

    data governance and security best practices

    .
  • Familiarity with CI/CD pipelines and version control (Git).
  • Knowledge of modern data architectures (e.g., data lakes, data mesh).

What We Offer

  • Opportunity to work with a

    modern AWS-based data stack

    .
  • A collaborative, growth-oriented team environment.
  • Exposure to diverse business domains and challenging projects.
  • Competitive compensation and benefits.

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