Senior Engagement Lead

About ProcDNA

ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge technology to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ 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. Ready to join our epic growth journey?

What we are looking for

What you'll do

• Leading end-to-end data management solution projects

  for multiple clients across data engineering and BI technologies.
• Responsible for

  creating a project management plan

  and ensuring adherence to project timelines.

• Integrate multiple data sources

  into one visualization to tell a story.

• Interact with customers

  to understand their business problems and provide best-in-class analytics solutions.

• Interact with Data Platform leaders

  and understand data flows that integrate into Tableau/analytics.
• Understand data governance, quality, security, and integrate analytics with these enterprise platforms.
• Interact with UX/UI global functions and design best-in class visualization for customers, harnessing all product capabilities.

Must have

• 7 - 10 years

  of data warehousing and data engineering.
• Experience in interacting with

  Life Science clients

  directly, discussing requirements, and stakeholder management.
• Experience in requirement gathering and designing enterprise warehouse solutions from scratch.
• Hands-on

  experience with ETL tools

  like ADF, Databricks, and Informatica;

  experience with data pipeline and workflow management tools

  : Azkaban, Luigi, Airflow, etc;

  experience in data warehouse

  : SQL/NoSQL, Amazon Redshift, Snowflake, Apache Hive, HDFS, etc.

• BI tools knowledge

  and experience in leading the implementation of dashboards.
• Deep understanding of

  data governance and data quality management

  frameworks.

• Strong communication and presentation skills

  with a strong problem-solving attitude.
• Excellent analytical, problem-solving, and debugging skills, with a strong ability to quickly learn and comprehend business processes and problems to effectively develop technical solutions to their requirements.