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Popular mid-level Data Engineer role in Bangalore with broad required stack increases applicant competition.
Core data engineering skills (Python, Spark, Azure) are transferable across industries despite real-estate domain.
Mandatory 6+ years plus Databricks, Azure, Python and streaming experience tightens candidate filters.
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Design and develop strategic data solutions and advanced data pipelines using modern technologies within a global enterprise data team.
Lead and mentor data engineering team members while collaborating across multiple regions to support data infrastructure and analytics capabilities.
Build and operate end-to-end data management systems including cleansing, normalization, and handling of structured and unstructured data in cloud environments (Azure preferred).
6+ years of work experience with strong hands-on expertise in Python, Databricks, Spark Streaming, Azure SQL Server, Azure Event Hubs, Azure Data Lake Storage, and Azure Search.
Bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics, or a relevant quantitative discipline.
Experience in data lake environments, event/queue-driven data pipelines, relational and non-relational database solutions, and cloud platforms (Azure preferred).
Location requirement: On-site in Bengaluru, Karnataka.
Experienced engineering lead comfortable designing and delivering data architecture and data management solutions in dynamic, fast-paced global settings.
Technically curious and adaptable to evolving technology stacks, including AI-powered solutions and cloud computing.
Familiar with modern data engineering frameworks, able to lead Agile delivery, and collaborate with product managers, architects, and software engineers at multiple organizational levels.