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Mid-level Databricks/Azure data engineer role in Pune with broad skill requirements attracts strong applicant density.
Azure Databricks and cloud data engineering skills are highly transferable across industries.
Explicit 4–6 years plus mandatory Azure Databricks, cloud and CI/CD requirements create strict shortlist filtering.
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Develop and maintain Extract-Load-Transform (ELT) data pipelines across bronze, silver, and gold data layers ensuring delivery of high-quality data assets.
Collaborate closely with Data Architects and cross-functional teams (Analytical Engineers, AI Engineers, Data Analysts) for designing optimal solutions and meeting data requirements.
Optimize, monitor, deploy, and provide third-level support to ensure pipeline performance, reliability, scalability, and promote asset reuse via documentation and training.
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 and related services.
Experience with DevOps practices including CI/CD pipelines and infrastructure as code.
Experienced data engineer proficient in designing scalable ELT pipelines on Azure Databricks within agile setups.
Collaborative operator who can work effectively with architects and analytics teams to align data assets with business needs.
Skilled in performance optimization, troubleshooting, deployment, and knowledge sharing in a cloud-native data engineering environment.