Senior Data Engineer-Databricks, Snowflake, SQL, ETL,Spark,Data Warehouse
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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand, common Data Engineer title, mid-level experience band, and broad skillset requirements increase competition.
Core data engineering skills are transferable, though healthcare domain experience is beneficial, giving moderate industry sensitivity.
Explicit 3+ years requirement plus mandatory Databricks, Snowflake, Spark, Airflow, and CI/CD skills make filters strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, test, and optimize complex ETL pipelines to support data warehouse and BI environments utilizing Snowflake, Databricks, Spark, and SQL.
Manage cloud infrastructure and job scheduling in Azure environment, including automation via GitOps tools like Jenkins and GitHub Actions, and deployment pipeline promotion from non-prod to production.
Collaborate with cross-functional teams for developing AI-powered data solutions and maintain production support ensuring seamless data flow and system reliability.
Minimum Requirements
Bachelor's or master's degree in Computer Science, IT, or equivalent (B.E/B.Tech/MCA/Graduation).
3+ years of experience in designing and developing ETL solutions within Data Warehousing and BI environments.
Proficiency in Snowflake, Databricks, Spark, SQL, Hive, and job scheduling tools (Airflow).
Experience working in cloud environments, preferably Azure, and familiarity with CI/CD pipelines using Jenkins and GitHub Actions.
Ideal Candidate Profile
Experienced data engineer with strong expertise in ETL development and cloud-based data warehousing technologies, especially Snowflake and Databricks.
Comfortable working in Agile/Scrum environments, capable of independently managing deployments, automation, and production support.
Skilled at translating business data needs into scalable AI-powered and automated data solutions with proficiency in coordinating across technical and non-technical teams.