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Mid-level data engineer at a well-known brand in metro with broad skillset requirement.
Core data engineering skills are highly transferable across industries despite a healthcare preference.
Multiple mandatory platform skills (Databricks, Snowflake, Python, Spark) plus domain experience increase filtering strictness.
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Design, develop, and maintain scalable ETL/ELT pipelines and enterprise data workflows using Databricks and Snowflake.
Develop Python-based automation and data processing solutions to support analytics, AI/ML, and reporting teams.
Ensure data quality, governance, security, and optimization; troubleshoot production issues and contribute to continuous improvement and innovation initiatives involving AI agents and automation.
Bachelor's degree in Engineering, MCA, or MSc required.
3+ years of IT experience.
Strong hands-on experience with Databricks, Snowflake, Python, SQL, ETL/ELT pipelines, distributed data processing, and workflow orchestration.
Familiarity with APIs, cloud-based data engineering architectures, and CI/CD or DevOps practices.
Experienced working in Agile, collaborative environments with strong communication skills.
Comfortable handling multiple priorities in fast-paced environments and contributing to architecture and innovation discussions.
Exposure to enterprise healthcare or regulated environments and knowledge of AI agents or intelligent automation frameworks is a plus.