ProcDNA - Data Engineering Lead - BI Reporting
1 week ago
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 220+ 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?
- You'll build and maintain systems for efficient data collection, storage, and processing to ensure data pipelines are robust and scalable for seamless integration and analysis.
- 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 You'll Do?
- Design/implement complex and scalable enterprise data processing and BI reporting solutions.
- Design, document & implement the data pipelines to feed data models for subsequent consumption in Snowflake using DBt, and airflow.
- Ensure strict data compliance, security, and cost optimization.
- Re-architect data solutions for scalability, reliability, and resilience.
- Manage data schemas and flow to ensure compliance, integrity, and security.
- Deliver end-to-end data solutions across multiple infrastructures and applications.
- Actively monitor and triage technical challenges in critical situations that require immediate resolution.
- Develop relationships with external stakeholders to maintain awareness of data and security issues and trends.
- Review work from other tech team members and provide feedback for growth.
- Effectively mentor and develop your team members.
Must Have :
- 8-12 years of experience in a data engineering role with an engineering degree in background.
- Expertise in writing SQL and database objects - Stored procedures, functions, and views.
- Hands-on experience in ETL/ELT and data security, SQL performance optimization, and job orchestration tools and technologies e.g., DBt, APIs, Apache Airflow.
- Knowledge of data warehouses (Redshift, Snowflake, Databricks, Cloudera).
- Proficient in Python scripting, PySpark, and Spark.
- Experience with data ingestion, storage, and consumption.
- Skilled in SQL and data schema management.
- Excellent leadership, communication, and interpersonal skills, with the ability to build and motivate high-performing teams.
- Strong project management skills, with experience in defining project scope, objectives, and deliverables, developing project plans, and managing project budgets and resources.
- Domain knowledge of the pharma landscape is a plus.
Exp : 8-12 Years
(ref:hirist.tech)-
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