Data Engineer

Join our growing team to help build and optimize the data pipelines that power our analytics and machine learning models. This is a high-growth role with a strong focus on modern Data Warehousing, offering hands-on mentorship and structured training in Snowflake.

• Pipeline Development:
• Assist in building scalable ETL/ELT processes to move data into the data warehouse efficiently.
• Data Integrity:
• Perform data profiling and validation to ensure accuracy, consistency, and reliability.
• SQL Optimization:
• Write and optimize complex SQL queries to support business reporting and data extraction.
• Collaboration:
• Work closely with Data Scientists and Analysts to deliver clean, well-structured datasets.
• System Health:
• Monitor pipeline performance and assist in troubleshooting job failures.

• SQL Mastery:
• Strong knowledge of joins, subqueries, and window functions.
• Programming:
• Proficiency in Python (preferred) or Java.
• Databases:
• Understanding of relational databases (PostgreSQL/MySQL) and NoSQL environments.
• Tools:
• Familiarity with Git/GitHub for version control.

• Specialized Training:
• Direct training and hands-on experience with Snowflake and dbt.
• Modern Tech Stack:
• Exposure to tools such as Apache Airflow and BigQuery/Snowflake.
• Mentorship:
• Daily learning opportunities with senior engineers in a collaborative environment.