Description

You will own data engineering projects, focusing on building and maintaining secure data pipelines for team consumption.

This role is on-site.

Responsibilities

• Create secure data views and publish them to the Enterprise Data Exchange via Snowflake.
• Modernize and migrate data pipelines using Databricks Delta Live Tables (DLT) and Unity Catalog.
• Leverage existing CI/CD processes for pipeline deployment and support improvements to current workflows.
• Provide production monitoring, failure support, and serve as an escalation point during on-call rotations.
• Adhere to PII encryption and masking standards across all data engineering tasks.

Required Skills

• 5+ years of relevant engineering experience.
• Proficiency in SQL and Python.
• Experience with Google Cloud Platform (GCP) and Azure Data Factory.
• Experience with orchestration tools such as ADF, AirFlow, and FiveTran.
• Familiarity with streaming technologies like Kafka and EventHub.
• Knowledge of data modeling using Star and Snowflake Schema.
• Experience with CI/CD principles and best practices.
• Experience with Snowflake and Spark.

Preferred Skills

• Experience with Oracle.

Key Skills

Education

Bachelor's degree