About ProcDNA: ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 350+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. Job Summary: We are seeking a highly skilled and experienced Data Engineer to join our Tech team. The ideal candidate will have a strong background in data visualization, dashboard development, and performance optimization using Tableau. He should have a strong hold on ETL and Data warehousing. You will work closely with business stakeholders, data engineers, and analysts to deliver insightful and scalable dashboards that drive decision-making. Key Responsibilities: • Design, develop, and maintain advanced Tableau/Power BI dashboards and visualizations. • Translate business requirements into technical specifications and create data visualizations that are clear, concise, and actionable. • Optimize dashboard performance and implement best practices for data visualization. • Strong understanding of HCP, HCO, Patient, Territory, Product, Payer, and Specialty Pharmacy data models within the pharmaceutical domain. • Design, build, and optimize ETL pipelines or underlying code to enhance data warehouse system • Collaborate with data engineering teams to ensure data accuracy and availability. • Conduct peer reviews and provide guidance to junior developers. • Stay updated with the latest Tableau features and industry trends. Required Skills Qualifications: • 4 to 8 years of hands-on experience in Tableau/Power BI development. • Prior experience in managing client stakeholders and junior team members. • A background in managing Life Science clients is mandatory. • Extensive hands-on experience in working with cloud data warehouses like Redshift, Azure Data Factory, Snowflake, etc. And Proficiency in SQL, Data Modeling, and designing ETL pipelines is a must.