Description

You will manage the end-to-end data pipeline and ecosystem, supporting the BI lead.

Responsibilities

• Build and design new data pipelines to increase data availability on the BI platform.
• Transform raw data into clean, actionable datasets through dimensional modeling.
• Maintain and enhance the existing data stack and infrastructure.
• Collaborate with cross-functional partners to define core KPIs and reporting requirements.
• Proactively resolve errors within the data pipeline and improve anomaly detection tools.

Required Skills

• 4+ years of experience in data engineering, BI/analytics engineering, or solutions architecture.
• 3+ years of experience working with ETL processes and relational databases.
• 2+ years of experience with BI and Web Analytics platforms.
• Expertise in SQL.
• Experience with Snowflake, dbt, and Fivetran.
• Experience with Looker as a BI platform.
• Proficiency with AWS serving infrastructure, including Lambda, EC2, S3, and Postgres RDS.
• Experience with Docker and Kubernetes for deployment and containerization.
• Ability to design dimensional models via dbt or similar ETL tools.

Preferred Skills

• Knowledge of Python.

Key Skills

Education

ANY GRADUATE