Data Platform Engineer
Electrolux Group (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain end-to-end data pipelines across ingestion, transformation, and delivery using Azure Databricks Lakehouse and related tools.
- Own pipeline orchestration in Airflow ensuring reliability, observability, and automated recovery for data workflows.
- Partner with business and technical teams to deliver scalable data products with strong data quality, cost optimization, and platform contributions applying data mesh principles.
Minimum Requirements
- 3+ years of professional experience as a Data Engineer building and operating production-scale data pipelines.
- Hands-on skills in SQL (including query optimization and schema design) and Python for pipeline development and automation.
- Experience with cloud data platforms, preferably Microsoft Azure, and modern lakehouse or data warehouse architectures.
- Experience with ELT/ETL pipelines using tools like dbt and workflow orchestration tools like Apache Airflow.
Ideal Candidate Profile
- Experienced in owning complex data engineering solutions spanning ingestion, transformation, orchestration, and platform scalability in cloud environments.
- Able to translate ambiguous business requirements into reliable data assets and communicate technical trade-offs clearly to non-technical stakeholders.
- Familiar with advanced engineering practices including CI/CD pipelines, version control (GitHub), infrastructure as code, and AI-assisted development tools like GitHub Copilot.