Data Engineer

Position: Data Engineer (2+ Years Experience)

Location: Gurugram

Tool required: Python, SQL, Databricks, Snowflake, Informatica

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 200+ 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 youll do

Design and implement complex enterprise data solutions.

Build and optimize ETL pipelines for data integration and enhance data warehouse systems through architectural reviews.

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.

Build strong partnerships with other teams to create valuable solutions.

Must have

Min. 2 year of experience in data engineering role with a B.tech/BE degree in background.

Proficient in ETL/ELT pipeline implementation.

Extensive experience with handling large data and maintaining data quality. Automating ETL pipelines.

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.