Description:

Join a hands-on Data Engineer role to build the next generation of a data delivery platform.
Collaborate with senior engineers and leadership to design, build, and operate data pipelines for millions of data points daily.

Requirements:

7–8+ years of experience in data engineering/ETL with a strong track record in production data pipelines.
Proficient in SQL and RDBMS, particularly SQL Server and Postgres, with skills in schema design and performance tuning.
Hands-on experience with open-source tools like dbt, ClickHouse, and orchestration tools (Airflow, Dagster).
Strong programming skills in Python or similar languages for data pipeline automation.
Experience with AI coding assistants and cloud platforms, preferably AWS.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Opportunity to work with a flexible, open-source architecture.
Collaborate with a distributed team across North America and India in a dynamic environment.

Skills