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Senior Data Engineer-1

Teknik, data och digitalt · Data, AI och analys · Data engineering

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Electrolux is seeking a Senior Data Engineer to join their Global Data & AI team in Bangalore. You will be responsible for designing, building, and maintaining data pipelines, transforming data using dbt, and managing the Azure Databricks Lakehouse. The role requires 3+ years of experience with SQL, Python, cloud data platforms, and a strong understanding of data engineering best practices.

Ansvarsområden

  • Design and build data pipelines to move data from various sources into the Lakehouse.
  • Build and maintain ELT pipelines using dbt for data transformation and modeling.
  • Operate and extend the Azure Databricks Lakehouse, contributing to schema design and query optimization.
  • Own end-to-end pipeline orchestration in Airflow, ensuring reliability and observability.
  • Implement automated data quality checks and testing.
  • Apply data mesh principles for data product design and ownership.
  • Adopt a software engineering mindset for Data Engineering (version control, CI/CD, code review).
  • Partner with business stakeholders to translate requirements into data solutions.
  • Monitor and optimize computing and storage costs on Azure.
  • Utilize AI pair-programming tools like GitHub Copilot and build CI/CD workflows in GitHub Actions.

Krav

  • 3+ years of experience as a Data Engineer building and operating production data pipelines at scale.
  • Strong hands-on skills in SQL (query optimization, schema design).
  • Strong hands-on skills in Python for pipeline development and automation.
  • Practical experience with a cloud data platform (Azure strongly preferred).
  • Experience with modern Lakehouse or data warehouse architecture.
  • Experience building ELT/ETL pipelines, ideally with dbt.
  • Experience orchestrating pipelines with a workflow manager such as Airflow.
  • Track record of taking ambiguous problems from first principles to a working, reliable solution.
  • Ability to explain technical trade-offs to non-technical stakeholders.
  • Ability to translate business requirements into scalable, well-modeled data assets.
  • Hands-on experience using GitHub Copilot or similar AI coding assistants.
  • Experience building CI/CD pipelines in GitHub Actions.

Önskade kvalifikationer

  • Experience with dbt (data build tool) for version-controlled, testable data modeling.
  • Experience with Apache Airflow for workflow scheduling, dependency management, and recovery.
  • Experience with Azure Data Factory and batch/streaming integration patterns.
  • Professional, production-grade level of proficiency in Python and SQL.
  • Experience applying Data Mesh principles to domain-oriented data ownership and data products.
  • Experience with GitHub and GitHub Actions for version control and CI/CD.
  • Experience with agentic CI/CD workflows and Infrastructure as Code.
  • Experience with GitHub Copilot and similar AI pair-programming tools embedded in the daily workflow.

Förmåner

  • Lead the development of mission-critical digital commerce experiences.
  • Influence core technical decisions and help evolve the platform for high scalability, resiliency, and flexibility.
  • Work with cutting-edge tools in cloud, commerce, and full-stack engineering.
  • Drive strategy and execution while mentoring a world-class engineering team.
  • Join a high-growth company with a culture that values engineering excellence, innovation, and transparent leadership.
  • Continuous investment in your development.
  • No barriers to where your career could take you.
#data engineering#azure#databricks#python#sql#dbt#airflow#data mesh#ci/cd#github#copilot
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Företag

Electrolux Group

Publicerade jobb

för 1 månad sedan

Anställningstyp

Heltid

Arbetsform

På plats

Erfarenhetsnivå

Senior

Platser

Bangalore, India

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