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Mid-level popular title, metro location, and broad toolset create high applicant density.
BI/DWH skills and cloud tooling are broadly transferable across industries.
Explicit 6–12 years and many mandatory BI, ETL, and cloud tool requirements increase screening strictness.
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Design and develop scalable BI and Data Warehouse solutions using Power BI, Tableau, and ETL tools like SSIS.
Lead data integration and transformation processes, including complex SQL query optimization and interactive dashboard creation.
Mentor junior BI developers while collaborating with stakeholders to translate requirements into technical specifications.
6-12 years experience in BI architecture and development focusing on Power BI, Tableau, and ETL (SSIS).
Proficiency in SQL Server with advanced query writing, data modeling, and database management.
Bachelor's degree in Computer Science, Information Systems, Data Science, or related field.
Experience with Python for data analysis, data pipeline orchestration tools (e.g., Airflow), cloud services (e.g., AWS S3, Lambda), and familiarity with databases like Snowflake, Postgres, Redshift, MongoDB.
Experienced in end-to-end BI solution delivery with strong expertise in visualization and data pipeline automation.
Comfortable working with diverse data ecosystems including cloud data warehouses and using programming tools to support analytics.
Capable of leading technical teams and aligning BI architectures with strategic business needs through stakeholder engagement.