
Senior Data Warehouse Specialist
1 week ago
Job Summary
We are looking for a skilled professional to fill the role of PySpark Databricks Engineer. The ideal candidate will have extensive knowledge of data warehousing concepts, strategies, and methodologies.
- Experience with Pyspark, SQL, Cloud data warehouse like Azure Synapse, Databricks.
- Extensive knowledge of Data Warehousing concepts, strategies, methodologies.
- Proficiency in ETL/Pipeline Development using tools such as Azure Databricks and Azure Data Factory, with expertise in batch and real-time data integration.
- Expertise in data ingestion, preparation, integration, and operationalization techniques to address data requirements effectively.
- Experience with relational data processing technology like MS SQL, Delta Lake, Spark SQL, SQL Server.
- Proficiency with Orchestration tools, Azure DevOps, and GitHub.
- Strong communication, collaboration, prioritization, and adaptability skills.
Requirements:
- Must have experience in data warehousing concepts.
- Must be proficient in PySpark, SQL, and Cloud data warehouses.
- Must have expertise in ETL/Pipeline Development and data integration.
- Must be able to work effectively with data ingestion, preparation, and integration techniques.
- Must have experience with relational data processing technology.
- Must be proficient in Orchestration tools, Azure DevOps, and GitHub.
What We Offer:
- A dynamic work environment with opportunities for growth and development.
- Competitive compensation and benefits package.
- The chance to work with a talented team of professionals.
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