Back
Metro Bangalore location, broad skillset, and popular data-engineer title drive moderate competition.
Data engineering skills and cloud/databricks experience are broadly transferable across industries.
Explicit 10–12 year requirement and extensive Databricks/Azure/Microsoft Fabric stack make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and optimize scalable ETL/ELT pipelines and cloud-based data platforms using Microsoft Fabric, Databricks, and modern Big Data technologies.
Lead technical design discussions, conduct code reviews, establish development standards, and mentor junior data engineers within Agile environments.
Drive best practices for CI/CD, DevOps, Infrastructure as Code, monitoring, and automated testing for enterprise data engineering projects.
10-12 years of experience in Data Engineering, Data Warehousing, or Big Data with enterprise-scale solution delivery.
Strong expertise in Microsoft Azure, AWS, or Google Cloud Platform, with hands-on experience in Microsoft Fabric and Databricks.
Proficient in SQL and NoSQL databases, data modeling, and optimizing data warehouses, data lakes, and lakehouses.
Work Experience Required: 10-12 years in relevant domains. Notice period: Not explicitly mentioned in the JD.
Experienced in architecting and managing enterprise-level cloud data solutions using Microsoft Fabric and Databricks.
Skilled at collaborating with cross-functional teams to translate business requirements into scalable technical implementations in Agile settings.
Capable of leading technical teams by establishing development standards, mentoring, and integrating modern DevOps practices into data engineering workflows.