Job Description
**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
Bill Rate- $59/hr
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Tory Robinson
Location: Tampa, FL
Duration: 6 months
GBaMS ReqID: 10404600
Azure Data Engineer
Job description/tech stack:
We are looking for a proficient Azure Data Engineer to design, build, and maintain scalable data pipelines and
architectures on the Azure cloud platform. The ideal candidate will have hands-on experience with data
engineering tools and technologies including Python, SQL, Postgres, MongoDB, PySpark, Databricks, and
Snowflake. You will collaborate with data scientists, analysts, and business stakeholders to deliver
high-quality, performant data solutions that enable data-driven decision-making.
Key Responsibilities
Design, develop, and optimize end-to-end data pipelines and ETL/ELT processes leveraging Azure Data services and frameworks.
Build scalable data solutions using Azure Databricks, PySpark, and Snowflake to process both batch and real-time data workloads.
Develop and maintain data models and schemas in relational and NoSQL databases such as Postgres and MongoDB.
Write efficient, reusable, and maintainable code primarily in Python and SQL to transform and load data across various systems.
Collaborate with cross-functional teams including data scientists, analysts, and business users to gather requirements and deliver data solutions that meet business needs.
Monitor data pipeline performance and implement improvements for reliability, scalability, and optimization.
Ensure data quality, governance, and compliance within all data engineering efforts.
Troubleshoot and resolve data-related issues, working closely with cloud infrastructure and platform teams.
Document data architecture, workflows, and processes to support ongoing maintenance and knowledge sharing.
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