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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 employer, mid-level Data Engineer in metro with broad Databricks/Snowflake requirements increases competition.
Data engineering skills like Databricks, Snowflake, and Python are highly transferable across industries.
Explicit 3+ years plus mandatory Databricks, Snowflake, Python, and SQL skills enforce strict shortlisting.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable ETL/ELT pipelines and enterprise data workflows using Databricks and Snowflake.
Develop Python-based automation and data processing solutions supporting real-time and batch data use cases.
Collaborate with analytics, AI/ML, and reporting teams to enable data-driven decision-making and ensure data quality, governance, and performance.
Minimum Requirements
3+ years of IT experience with a Bachelor's degree in Engineering, MCA, or MSc.
Strong experience with Databricks, Snowflake, Python programming, SQL, and data modeling.
Experience building ETL/ELT pipelines and familiarity with workflow orchestration, scheduling, and distributed data processing.
Knowledge of APIs, automation frameworks, cloud-based data engineering, and problem-solving skills.
Ideal Candidate Profile
Experienced in modern data engineering practices with hands-on skills in Databricks, Snowflake, and Python automation.
Able to work in Agile teams collaborating across functions including analytics, AI/ML, and reporting for enterprise data solutions.
Familiarity with AI agents, intelligent orchestration, automation frameworks, and basic CI/CD and DevOps practices; prior healthcare or regulated environment experience is a plus.