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Popular mid-level Azure data engineer role at a known services firm in metros, increasing applicant competition.
Skills are transferable across industries but Azure Databricks specialization limits portability.
Mandatory Azure Databricks, PySpark, Python, and 5+ years experience enforce strict filters.
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Design, develop, and maintain scalable, robust data pipelines on Azure cloud platform handling large volumes of structured and unstructured data.
Develop and optimize Spark jobs using PySpark and Spark SQL within Azure Databricks and implement data storage following medallion architecture on Azure Data Lake Storage Gen2.
Collaborate with stakeholders to translate data requirements into solutions, enforce data quality and governance, automate deployments using CI/CD and IaC tools, and mentor junior engineers.
5+ years professional experience in data engineering with enterprise-grade data solutions.
At least 3 years hands-on experience with Microsoft Azure data services including Azure Databricks, Azure Data Lake Storage Gen2, and medallion architecture implementation.
Expert proficiency in Python and PySpark for large scale data processing, as well as advanced SQL skills.
Full-time work in Bangalore or Chennai with 5 days work from office, shift timing 1 PM to 10 PM.
Deep expertise in Azure data engineering tools and architecture patterns including CI/CD pipelines and Infrastructure as Code for automation.
Experienced in scalable data platform design with focus on data security, performance tuning, and data modeling for batch and real-time analytics.
Capable of mentoring peers and translating complex data needs into practical, governed solutions within a collaborative environment.