Data Scientist | Data Analyst

Job Title: Data Scientist / Analyst

About the Role
We are looking for a Data Scientist to support data transformation, modeling, governance, and observability initiatives across a modern data platform. This role involves working with dbt, SQL, Python, Snowflake, and orchestration tools to develop and maintain reliable ETL/ELT workflows. The ideal candidate should be comfortable collaborating across teams, documenting technical work, and supporting data platform practices using governance, cataloging, and observability tools.

Key Responsibilities

• Work with data transformation and modeling processes using dbt, SQL, Python, YAML, and Jinja.
• Support the development, maintenance, and orchestration of ETL/ELT pipelines using tools such as Apache Airflow.
• Use Snowflake as part of the data platform stack to support scalable data workflows.
• Support data governance and observability workflows using Monte Carlo, Data Mesh Manager, Immuta, and Collibra.
• Collaborate and document work using GitLab, Confluence, and related delivery practices.
• Contribute to data modeling, pipeline quality, and documentation best practices.

Must-have Requirements

• Experience with GitLab.
• Experience with dbt.
• Experience with Monte Carlo.
• Experience with Data Mesh Manager.
• Experience with Immuta.
• Experience with Collibra.
• Experience with Confluence.
• Strong SQL skills.
• Python skills.
• Spoken English.
• Experience with Snowflake.
• Experience with Apache Airflow.
• Experience working with ETL/ELT pipelines.
• Experience with data modeling.
• Familiarity with YAML.
• Familiarity with Jinja.

Nice-to-have Requirements

• Experience with Amazon S3.
• Experience with Talend.
• Experience with Elementary.
• Experience with eSheet Connector.
• Bash or Shell scripting experience.
• Knowledge of data governance.
• Knowledge of data observability.
• Experience with data catalogs.
• Familiarity with data contracts.