Responsibilities:
- Lead the design, development, and maintenance of data warehouse systems, including overseeing ETL processes and daily data processing.
- Collaborate with stakeholders to define data needs, ensuring alignment with business objectives while maintaining high standards of data quality and governance.
- Optimize data warehouse performance, implementing improvements to enhance efficiency, scalability, and compliance with relevant regulations.
- Stay updated on industry trends, evaluate new technologies, and promote cross-functional collaboration to enhance data integration across business units.
Requirements:
- 4+ years of Data Warehosing, Data Engineer, or Data Architect experience
- Pharmaceutical data sets expertise required
- Proficient in database technologies (SQL, Oracle, SQL Server, PostgreSQL) and data modeling (star/snowflake schema).
- Experienced with cloud-based data warehousing solutions (Amazon Redshift, Google BigQuery, Snowflake) and big data technologies (Hadoop, Spark).
- Skilled in data visualization tools (Tableau, Power BI), programming languages (SQL, Python, R), and reporting methodologies.
Your resume will not be considered if you don't have the qualifications above.
