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Strong employer brand, metro location, and mid-level generalist data-engineer title increase applicant competition.
Core data engineering skills are transferable, though BI and Salesforce/customer-success context require some domain familiarity.
Explicit 6-8 years and mandatory Python, Airflow, and Snowflake/Oracle skills enforce strict filters.
Develop, implement, and maintain data pipelines to move and process data from multiple sources into BI schema for generating actionable insights.
Collaborate with stakeholders and cross-functional teams to gather business requirements, process data, and create Tableau dashboards and reports.
Provide technical leadership and mentorship to junior data engineers; monitor and resolve data process issues to ensure data accuracy and compliance.
6-8 years experience in a data engineering role within a business intelligence team.
Proficiency in Python, Apache Airflow, and database platforms such as Oracle and Snowflake.
Strong skills in writing complex SQL queries.
Bachelor's or Master's degree in Computer Science or equivalent.
Experienced in end-to-end data engineering workflows including pipeline creation, data governance, and BI dashboard development in enterprise environments.
Skilled at collaborating with business and technical stakeholders to translate data requirements into actionable insights and reports.
Capable of providing mentorship and technical leadership in data engineering, with a focus on maintaining data quality and integrating emerging data technologies.