Data Engineering 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 300+ 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

Youll be driving the adoption of the latest technologies in our solutions, bringing in thought leadership to guide clients on complex data management problems, and driving business performance. You will work with the leadership team to bring subject matter expertise in areas such as Big Data, ETL, Reporting, CRM, Data Warehousing, MDM, DevOps, Software Development, etc. We are seeking an individual who not only possesses the requisite expertise but also thrives in the dynamic landscape of a fast-paced global firm.

What youll 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, and 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

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Experience in interacting with clients directly, discussing requirements, and managing stakeholders.

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