We need some Lead Azure Data Engineer with Strong SQL, Python, Pyspark, Azure Data Bricks, Azure Synapse
Job Description:
As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform. The ideal candidate will have a proven track record of writing complex SQL stored procedures with implementing OTLP database solutions (using Microsoft SQL Server)
Key Responsibilities:
- Collaborate with cross-functional teams to gather, analyze, and document business requirements for data integration projects.
- Develop and maintain robust data pipelines using Azure Data Factory and Databricks ensuring seamless data flow between systems.
- Expertise in Native SQL, Dynamic SQL, spark SQL, Azure SQL and ability to write complex stored procedures.
- Design and implement complex stored procedures to support data transformation and Implement business validation logic.
- Strong algorithmic programming skills
- Work closely with the team to ensure data quality, integrity, and accuracy across all systems.
- Utilize Databricks for advanced data processing and analysis.
- Experience on OLTP (Online Transaction Processing) systems using SQL Server and contribute to their enhancement and optimization.
Qualifications:
- Bachelor’s degree in computer science, Information Technology, or a related field.
- [Specify the number of years] years of experience in data integration and database development.
- Proficiency in Core SQL and Azure SQL.
- Extensive experience with Azure Data Factory and Databricks.
- Strong expertise in designing and implementing complex stored procedures.
Excellent problem-solving skills and attention to detail.
Job Types: Full-time, Contract
Benefits:
- 401(k)
- Dental insurance
- Health insurance
Experience:
- SQL: 10 years (Preferred)
- Azure Data Bricks: 5 years (Preferred)
- Azure Data Factory: 5 years (Preferred)
- Python: 5 years (Preferred)
- PySpark: 5 years (Preferred)
- Azure Synapse: 5 years (Preferred)
- OLTP: 5 years (Preferred)
Ability to Commute:
- Seattle, WA 98101 (Required)
Work Location: In person