Role :

Design and implement robust data pipelines to support data-driven decisions across business functions, collaborating with Analysts, Scientists, and Machine Learning Engineers.

Key Responsibilities at this Role :

- Design and maintain data pipelines using Airflow and DBT.

- Implement data integrations with sources and targets, optimizing storage.

- Write advanced SQL queries for data manipulation.

- Develop data models in visualization tools.

- Utilize Pyspark for big data processing.

- Work with APIs and GCP services to enhance workflows.

- Employ CI/CD practices for deployment.

Skills :

- 3 to 5 years of Data Engineering experience.

- Hands-on expertise in Python, SQL, DBT, Airflow, Google BigQuery, PySpark and Google Cloud Platform (GCP).

- Hands-on experience with Docker, REST API integrations, and CI/CD pipelines.

- Experience writing custom code in Python and utilize Jinja within DBT for dynamic pipeline generation, specifically designed for efficiency in BigQuery.

Extra Information :

- Good to have : Experience with Airbyte.

- Good to have : Familiarity with Docker.

- Cross-functional collaboration skills.

- Strong communication style.

- Leadership expectations to drive projects.