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Mid-level data engineer in Bangalore with common cloud and Databricks skills yields moderate competition.
Core data engineering skills are broadly transferable, though healthcare compliance and domain data needs raise specificity.
Explicit years requirement plus many mandatory cloud, Databricks, Spark, and data platform skills increases screening strictness.
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Design, build, and maintain large-scale, scalable ETL/ELT and streaming data pipelines for complex healthcare-related datasets.
Develop and manage data models and data quality frameworks to ensure reliable and trustworthy analytics-ready datasets.
Provide technical leadership and collaborate with cross-functional teams across healthcare domains to support AI/ML initiatives and enterprise data architecture.
Bachelor’s Degree or higher in Computer Science, Mathematics, Engineering, or related technical field with 6-8 years related experience OR High School Diploma/GED with 10 years related experience.
Strong proficiency in SQL, Python, and experience with relational and NoSQL databases.
Hands-on experience with cloud data platforms (Azure or AWS), Databricks or Snowflake, Spark, and ETL/workflow orchestration tools.
Ability to manage data quality, lineage, and validation for large, complex datasets; professional English communication skills required.
Experienced in building and scaling data infrastructure supporting AI and GenAI healthcare use cases with strong cloud platform expertise.
Capable of driving modern data architecture design balancing scalability, performance, and maintainability in regulated or healthcare environments.
Able to lead and mentor data engineering teams while interfacing effectively with diverse technical and non-technical stakeholders globally.