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Popular mid-level Data Engineer title, Bangalore location, broad full-stack data requirements and legacy brand increase candidate competition.
Data engineering skills are broadly transferable, though healthcare domain familiarity would be advantageous.
Explicit 5+ years plus required Power BI, SQL, Snowflake and DevOps familiarity enforces strict filtering.
Design, build, and maintain end-to-end data solutions including data ingestion, transformation, storage, and consumption.
Develop scalable data pipelines, curated data models, and data services supporting analytics and reporting.
Create and optimize Power BI dashboards with performance and visualization best practices, ensuring reliable and secure production readiness.
Minimum 5+ years experience in full stack data engineering and application development (front-end, back-end, data layers).
Proficient in Power BI dashboard development and SQL with experience in relational databases like Snowflake.
Strong understanding of data modeling concepts including star/snowflake schemas and dimensional design.
Work location: Bangalore (Hybrid). No travel required.
Experienced in agile/sprint-based delivery and familiar with CI/CD, version control, and DevOps practices.
Ability to collaborate closely with product owners, designers, and cross-functional teams to translate requirements into technical solutions.
Strong engineering discipline with focus on code reviews, testing, documentation, and data governance standards.