[Hiring] Senior Solution Data Engineer @Sequoia Connect

Role Description

We are currently searching for a Solution Data Engineer Sr :

• Full management of the Databricks environment, including configuration and workspace administration.
• Implement data governance using Unity Catalog and manage structured storage with Delta Lake tables.
• Write and optimize data processing logic using Python, SQL, and PySpark.
• Manage data architecture and performance within Snowflake.
• Handle Adobe Data Feeds and Adobe Analytics, ensuring correct ingestion and transformation of marketing data.
• Oversee data warehousing operations in Amazon Redshift.
• Schedule and monitor complex data workflows using Airflow.
• Own end-to-end maintenance of data pipelines, ensuring reliability from ingestion to delivery across multiple cloud platforms.
• Manage code lifecycle and collaborative development using Git.

Qualifications

• Advanced proficiency in the Databricks Ecosystem (Workspace admin, Delta Lake, Unity Catalog).
• Expertise in Data Warehousing & Integration, specifically with Snowflake.
• Strong development skills in Python, SQL, and PySpark.
• Hands-on experience with Adobe Data Ingestion (Data Feeds/Analytics).
• Solid experience in version control using Git.

Requirements

• Experience with Amazon Redshift for data warehousing operations.
• Proficiency in orchestration tools, specifically Airflow.
• Familiarity with Google Cloud Platform (BigQuery) operations.
• Knowledge of AWS Data Services such as Athena and AWS Glue.

Benefits

• Fully remote position.