Senior data engineer role focused on designing, building, and optimizing large-scale Snowflake solutions. Day to day involves writing and tuning complex SQL and stored procedures, building Python (Pandas/NumPy) automation scripts, and creating batch and near real-time ETL pipelines with efficient data models. Requires 5+ years of Snowflake data engineering experience.
We are looking for a Snowflake Pro who can design, build, and optimize large-scale data solutions. If you can write lightning-fast SQL, build modular Python scripts, and craft high-performance ETL pipelines, you will feel right at home here.
You will work on:
Developing and optimizing Snowflake solutions for performance and scale
Writing, tuning, and troubleshooting complex SQL queries and stored procedures
Creating modular Python scripts (Pandas, NumPy) for automation & data transformation
Designing efficient data models and database structures
Building reliable batch & near real-time ETL pipelines
Optimizing large datasets for speed and cost efficiency
What we are looking for:
5+ years in Snowflake data engineering
Expert-level SQL with strong performance tuning skills
Strong Python skills for automation & transformation
Good understanding of data modelling and database design
Good to have: Snowflake SnowPro Core certification
Nice to have: Exposure to DBT for data transformations
Analytical mindset with strong problem-solving ability