Data Warehouse Manager (Commercial)

EPM Scientific; Waltham (MA); On-site; USD 80,000 - 120,000; Full time

Job summary

An innovative firm in the pharmaceutical and biotech sectors is seeking a Commercial Recruiter to drive the design and management of data warehouse systems. This role involves collaborating with stakeholders to ensure data quality and governance while optimizing performance and scalability. The ideal candidate will have a strong background in data warehousing, cloud technologies, and data visualization tools. If you are passionate about leveraging data to support business objectives and thrive in a dynamic environment, this opportunity is perfect for you.

Qualifications

• 4+ years of experience in Data Warehousing, Data Engineering, or Data Architecture.
• Skilled in cloud-based solutions and big data technologies.

Responsibilities

• Lead the design and maintenance of data warehouse systems and ETL processes.
• Collaborate with stakeholders to define data needs and ensure data quality.

Skills

Data Warehousing

Data Engineering

Data Architecture

Cloud-based Data Warehousing

Data Visualization

SQL

Python

R

Tools

Amazon Redshift

Google BigQuery

Snowflake

Hadoop

Spark

Tableau

Power BI

Job description

Commercial Recruiter within Pharma, Biotech, and Medical Device Industry at EPM Scientific

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 Warehousing, Data Engineer, or Data Architect experience
• 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.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Consulting

Industries: Pharmaceutical Manufacturing and Biotechnology Research