Senior Data Engineer
Datavail (company site, opens in a new tab)5+ yrsMumbaiOn-siteDirect career pageEst. 14–26 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data platforms and pipelines using Databricks, Microsoft Fabric, SQL, Spark, and Delta Lake.
- Build automation frameworks for data validation, testing, monitoring, and deployment to ensure data quality and operational reliability.
- Implement security controls, governance standards, and optimize performance and cost efficiency across enterprise data environments.
Minimum Requirements
- 5+ years of experience in Data Engineering, Analytics Engineering, or Data Platform Development.
- Strong hands-on expertise with Databricks, Apache Spark (PySpark), SQL, Microsoft Fabric, and Delta Lake.
- Experience in building data pipelines, ETL/ELT solutions, lakehouse architectures, and data integration frameworks.
- Proven skills in automation frameworks, CI/CD pipelines using Azure DevOps or GitHub, and data quality/governance practices.
Ideal Candidate Profile
- Experienced in end-to-end data platform engineering including design, development, testing, deployment, and support of large-scale solutions.
- Skilled at collaborating with cross-functional teams and managing stakeholder expectations to deliver enterprise-grade data solutions.
- Capable of leading technical discussions, implementing engineering best practices, and mentoring junior engineers.