Engagement Lead - Technology
Listed on 2026-06-07
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IT/Tech
Data Analyst, Data Engineer
ProcDNA is a global rocket ship in life sciences consulting. 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 400+ across 8 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.
Ready to join our epic growth journey?
What we are looking for
We are seeking an Engagement Lead – Technology to join our team. You are someone who has a good understanding of the pharmaceutical industry, has detailed knowledge of various datasets like LAAD, DDD, XPO, etc., enjoys working on complex data sets to help clients solve diverse real-world problems and drive business performance, navigate risk, and develop pragmatic strategies through data-driven insights..
What you will do
- Lead end-to-end data management and analytics projects, ensuring timely delivery and client satisfaction.
- Collaborate closely with clients to thoroughly understand their business needs and deliver customized, best-in-class analytics and BI solutions.
- Design and develop sophisticated integrated data pipelines and visualizations that tell compelling stories using tools like Tableau.
- Work collaboratively cross-functionally with Data Platform, Governance, and UX/UI teams to ensure the development of high-quality, secure, and scalable solutions.
Must have
- 5 to 7 years of extensive experience in data warehousing, data engineering, and end-to-end design of enterprise data solutions from scratch (including over 4 years in the U.S.)
- Highly proficient with ETL tools (ADF, Databricks, Informatica) and pipeline orchestration tools (Azkaban, Airflow, Luigi).
- Strong hands-on knowledge of data platforms like SQL/No
SQL, Snowflake, Redshift, Apache Hive, and BI tools. - Excellent communication
, stakeholder management, and problem-solving skills with a deep understanding of data governance and quality frameworks.
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