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Tier-1 employer, mid-level data engineer role in Bangalore with broad Azure skillset increases candidate competition.
Specialized Azure data engineering skills are required but remain reasonably transferable across industries.
Explicit 5–10 years requirement plus mandatory Azure, ETL, and Spark skills create strict shortlisting filters.
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Design, develop, and oversee scalable, resilient, and cost-effective data infrastructure and automated data transformation pipelines using Microsoft Azure services.
Optimize data pipelines for performance and reliability while ensuring data quality, validation, and integrity.
Mentor junior data engineers and manage CI/CD processes for deploying and maintaining data solutions.
5-10 years of proven experience as a Data Engineer or similar role involving data and ETL processes.
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
Strong proficiency in Microsoft Azure services: Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage, and Azure Data Lake Storage Gen2.
Proficient in SQL querying of modern RDBMS (e.g., SQL Server, PostgreSQL) and experience with big data technologies like Spark.
Experienced in designing and managing end-to-end data infrastructures in cloud environments, specifically Azure ecosystem.
Able to lead and mentor data engineering teams, managing both technical and process aspects including CI/CD pipelines.
Skilled in software engineering practices applied to data engineering such as version control, testing, and automation deployment workflows.