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Popular mid-level Data Engineer (4–6 yrs), metro Pune, and broad Azure/Databricks skillset creates high applicant competition.
Core Azure/Databricks data engineering skills are highly transferable across industries.
Explicit 4–6 years requirement plus mandatory Azure/Databricks and data engineering skills enforce high shortlisting strictness.
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Design, implement, and optimize ELT pipelines across bronze, silver, and gold data layers ensuring data quality and scalability.
Collaborate with Data Architects and Analytical/AI Engineers to design solutions and validate data assets according to business requirements.
Deploy, monitor, and provide third-level support for data assets while promoting reuse through documentation and knowledge sharing.
Bachelor’s or Master’s degree in IT or Computer Sciences.
4 to 6 years of experience in a data engineering role within agile product teams.
Hands-on expertise with Azure Databricks Lakehouse technology and Microsoft Azure cloud platform services.
Experience with DevOps practices including CI/CD pipelines and infrastructure as code.
Experienced in designing scalable data pipelines and integrating cross-functional team requirements in data-intensive environments.
Proficient with Azure-based data solutions and familiar with business intelligence tools, preferably Microsoft Power BI.
Comfortable working in collaborative agile teams and providing technical mentorship and support.