Job Description
A senior data engineering position is available, focusing on designing and implementing scalable data solutions. This role will lead data migrations, develop robust architectures, build ETL/ELT pipelines, and ensure data security and quality governance.
Key Responsibilities
* Migrate data into a proprietary SQL database following mergers and acquisitions.
* Design and maintain complex data architectures using Azure services.
* Build and optimize ETL/ELT pipelines and data models.
* Implement and monitor Azure-based tools, including Data Factory, Databricks, Synapse Analytics, and Data Lake.
* Collaborate with cross-functional teams and provide technical mentorship.
Ideal Candidate
* Demonstrate passion for data-driven decision-making and attention to detail.
* Be skilled in Azure SQL, Python/PySpark, Azure Synapse, and data integration tools.
* Show experience in designing and optimizing complex queries, data models, and pipelines.
* Hold certifications such as Azure Data Engineer Associate or equivalent.
* Exhibit strong communication and problem-solving skills.
This role is suitable for self-starters who thrive in dynamic environments and are eager to improve data engineering practices.
The estimated salary range for this position is $150,000 - $200,000 per year, based on the title, location, and requirements of the job.