Data Pipeline Development: Build scalable ETL/ELT pipelines (Informatica, Airflow, Dataproc).
Data Warehousing: Manage data warehouse on Google BigQuery for reliable data.
Data Processing: Use Databricks and Python to transform large data volumes.
DevOps & Automation: CI/CD pipelines for data workflows (Dataform, GitHub).
Collaboration: Work with data scientists, analysts and stakeholders.
Data Modeling & BI (Optional): Create data models and dashboards in Tableau.

🎯 Requirements

Bachelor's degree in CS, Engineering, or related field.
5+ years' data engineering experience.
Strong SQL and Google BigQuery proficiency.
Databricks and Dataproc experience.
ETL/ELT tools like Informatica.
Proficient in Airflow for orchestration.
Strong Python programming skills.
DevOps basics; Dataform and GitHub CI/CD.

🎁 Benefits

Inclusive, DEIB culture and belonging.
Reasonable accommodations available on request.

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