Data Engineering Lead- Cloud ETL, Azure,Data Bricks,Snowflake, etc
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 employer and common data-lead role with cloud ETL skills, moderate competition.
Core cloud ETL skills are transferable, though healthcare data governance increases domain specificity.
Mandatory 7+ years and specific Databricks, Snowflake, PySpark, Airflow, and Teradata experience tightens filters.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and support scalable ETL/ELT data pipelines using Databricks, Snowflake, Teradata, PySpark, and Airflow for enterprise data warehouse and analytics platforms.
Lead small to medium-sized projects, mentor junior team members, and drive performance tuning, automation, and process improvements across data platforms.
Ensure adherence to data governance, security, and development best practices in data solutions across collaboration with business and technical teams.
Minimum Requirements
Bachelor's degree in Computer Science, Information Systems, or a related field.
Minimum 7 years of experience in Data Engineering, ETL Development, or Data Warehousing.
Hands-on experience with Databricks, Snowflake, Teradata, Python/PySpark, UNIX, and Airflow for data pipeline orchestration.
Solid understanding of Data Warehousing concepts, dimensional modeling, and SQL.
Ideal Candidate Profile
Experienced leader capable of managing data engineering teams and leading projects focused on cloud ETL and modern data platforms.
Strong background in designing and optimizing enterprise data warehouse solutions using Databricks, Snowflake, and orchestration tools like Airflow.
Practitioner comfortable working in environments requiring adherence to data governance, security standards, and performance optimization.