Data Engineer- GCP/Azure
Innovantes IT Solutions LLP (company site, opens in a new tab)ChandigarhOn-siteDirect career pageEst. 8–14 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Architect and implement end-to-end enterprise data pipelines and platforms supporting BI, reporting, and analytics on GCP and/or Azure.
- Build and maintain complex data integrations handling diverse sources, formats, and transformation requirements with reliability and scalability.
- Own pipeline lifecycle including development, deployment, monitoring, troubleshooting, optimization, and production support with CI/CD and operational best practices.
Minimum Requirements
- Proven experience in architecting and delivering complex, production-grade data pipelines.
- Strong hands-on expertise in Python, PySpark, Apache Spark, and SQL.
- Experience with GCP or Microsoft Azure data engineering services and enterprise data integrations.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in designing scalable data lakes, lakehouse, and dimensional modelling for BI and analytics platforms.
- Capable of independently owning complex client implementations from architecture through production support, including troubleshooting and performance optimization.
- Comfortable with both architecture and hands-on coding, not limited to SQL or low-code ETL roles, and familiar with various cloud data services and integration challenges.