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Tier-1 brand, mid-level generalist title, metro location, and 3+ years boost applicant competition.
Core data engineering skills transfer easily across industries despite healthcare domain preference.
Explicit 3+ years plus mandatory Databricks, Snowflake, Python and data stack increases screening strictness.
Design, develop, and maintain scalable ETL/ELT data pipelines and enterprise workflows using Databricks and Snowflake.
Develop Python-based automation and data processing solutions integrating structured and semi-structured data from multiple systems and APIs.
Collaborate with analytics and AI/ML teams to support data-driven decision-making, ensure data quality, governance, and optimize system performance.
3+ years of IT experience with a Bachelor’s degree in Engineering, MCA, or MSc.
Strong experience in Databricks, Snowflake, Python programming, SQL, and data modeling.
Experience building ETL/ELT pipelines, workflow orchestration, and cloud-based data engineering architectures.
Work Experience Required: 3+ years in IT relevant to data engineering roles.
Experienced in distributed data processing and performance optimization in enterprise environments.
Proficient in automation frameworks, integration patterns, and workflow scheduling within cloud contexts.
Familiar with Agile development practices and collaborating cross-functionally in analytics, AI/ML, and reporting teams.