Senior Solution Data Engineer
Full-time
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.
Vacancy posted 5 days ago
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