Senior Data Engineer (Azure & Python)

10 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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Job Description

The Role:

Senior Data Engineer

  • Location:

    Hybrid – Pune, India (3 days onsite)
  • Target Start:

    January 2025
  • Compensation:

    ₹30,00,000 – ₹40,00,000 INR


Responsibilities:

  • Architect, develop, and optimise

    cloud-native data pipelines

    and

    big data ecosystems

    using Azure technologies.
  • Design and implement

    robust data ingestion, transformation, and enrichment workflows,

    ensuring high data quality, reliability, and consistency.
  • Embed all key

    Non-Functional Requirements (security, performance, scalability, DR, compliance)

    into solution designs.
  • Evaluate and prototype modern data technologies; lead

    Proofs of Concept (POCs)

    to drive continuous platform improvement.
  • Collaborate with

    Data Governance

    teams to maintain high-quality metadata, lineage tracking, and compliance (e.g., Collibra).
  • Promote

    data mesh principles

    , reusable data products, and best engineering practices across teams.
  • Apply automation and DevSecOps practices using

    Terraform

    ,

    GitHub

    , and

    CI/CD pipelines

    to streamline deployment and operations.
  • Partner with stakeholders across

    Product, Governance, Analytics, and Engineering

    to define technical requirements and deliver scalable solutions.
  • Present technical architecture, solution design, and performance findings to technical and non-technical audiences.


What we're looking for in our applicants:

  • 10+ years

    of hands-on experience in data engineering within enterprise or cloud-native environments.
  • Proven experience building

    production-grade data pipelines

    on Azure (Azure Data Factory, Databricks, Synapse, or equivalent).
  • Strong proficiency in

    Python

    for data engineering, automation, and pipeline development.
  • Deep understanding of

    data lake/data warehouse architectures

    and modern data platform patterns.
  • Extensive experience with

    data migration

    , integration of distributed data sources, and handling large-scale datasets.
  • Skilled in

    DevOps/CI/CD

    , Agile delivery, and automated deployment workflows.
  • Experience collaborating with Data Governance, Cloud Engineering, and Product teams.
  • Previous experience with

    Snowflake

    is a plus.
  • Excellent communication skills with the ability to articulate complex technical concepts clearly.


Why Keyrus?

Joining Keyrus means joining a market leader in the Data Intelligence field and an (inter)national player in Management Consultancy and Digital Experience.

You will be part of a young and ever learning enterprise with an established international network of thought leading professionals driven by bridging the gap between innovation and business. You get the opportunity to meet specialised and professional consultants in a multicultural ecosystem.

Keyrus gives you the opportunity to showcase your talents and potential, to build up experience through working with our clients, with the opportunity to grow depending on your capabilities and affinities, in a great working and dynamic atmosphere. 


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