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Mid-level, popular data engineering role in Bangalore with broad Azure skillset increases applicant competition.
Azure-centric data engineering skills are transferable across industries but require cloud specialization.
Explicit 4–6 years requirement plus mandatory Azure data stack and certifications makes filters very strict.
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Design and implement scalable ETL processes using Azure Data Factory, Synapse Analytics, and Spark for real-time and batch data feeds.
Develop and optimize data pipelines and models for large-scale lakehouse and warehouse analytics systems, ensuring high performance and reliability.
Manage and integrate diverse Azure data sources, maintain cloud data architectures, and deliver Power BI reports with advanced data modeling and DAX.
4 to 6 years of hands-on experience in data engineering with expertise in Azure analytics and pipeline development.
Proficiency in Azure Synapse Analytics, Azure Data Factory, Azure Data Explorer (Kusto), Pyspark, Delta Lake, SQL performance tuning, and Power BI (including Data Modeling and DAX).
Bachelor's degree in Computer Science, IT, Data Engineering, or related field.
Location requirement: Bangalore.
Experienced in designing and optimizing large-scale Azure-based data solutions involving multiple data ecosystems and streaming analytics.
Skilled in test-driven, data-driven development methodologies and cross-functional collaboration to capture data requirements.
Holds or is pursuing Microsoft Azure certifications (Data Engineer Associate and/or Solutions Architect Expert).