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Senior Azure Data Engineer (Manager) – Remote/White Plains, NY

Stott and May
White Plains, NY Remote Full Time
POSTED ON 1/15/2025
AVAILABLE BEFORE 4/6/2025

Senior Azure Data Engineer (Manager) – Remote / White Plains, NY

A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully.

Skills – Data Engineering, Senior Data Engineer, Hands On, Azure, Azure Databricks, Azure Data Factory, Data Lakes, Management, Data Warehouse, Project Delivery, Communication Skills

My client, a leading Global brand within the CPG industry, is currently looking to onboard a Senior Azure Data Engineer. The ideal individual will have a proven and strong hands-on background within Azure, Azure Databricks, Azure Data Factory, and building data lakes.

This is a Full-Time position which will see individuals working remotely 2-3 days per week, with the remaining 2-3 days on-site at my client’s offices in White Plains, NY.

The Role / Core Responsibilities :

  • As the Data Engineer, you will be directly responsible for the availability, quality, and reliability of data to meet business data needs across the organization.
  • The primary focus of this role will revolve around data warehouse maintenance in MS Azure.
  • As a Senior Azure Data Engineer, you will design, build, and maintain the data infrastructure to ensure seamless integration of internal and external systems and smooth data flow.
  • Work closely with the business to deliver complex data integrations and projects to meet client needs from a data perspective.
  • Design, build, and maintain data pipelines using tools such as Azure Data Factory, Databricks, Azure Synapse, SQL, and Python.
  • Oversee the creation of data pipelines and data marts in real-time, near real-time, and batch processing.
  • Ensure accurate and efficient integration of a large variety (structured, semi-structured, and unstructured) of data from various sources.
  • Own and manage all data warehouse deliverables, such as data models, ETL / ELT processes, and data quality assessments.
  • Ensure consistent adherence to data warehouse architecture standards through governance, best practices, and automation.
  • Manage the day-to-day operations of the Azure data, Power BI, and UC4 platforms.
  • Monitor, audit, and measure data warehouse performance and recommend improvements.
  • Manage the data lake environment, including blob storage.
  • Guide the development and implementation of procedures for the maintenance and monitoring of data warehouse and related systems.
  • Ensure the availability, performance, and scalability of the data warehouse platform, including data pipelines, security controls, administration tools, and warehouse database.

The Candidate :

  • 8 years of experience in data warehousing, data modeling, and data transformation.
  • Proven hands-on and extensive experience with Azure Data Factory (ADF), Azure Databricks, and Azure Data Lake Storage (ADLS).
  • Strong grasp of data ingestion, transformation, and delivery (ETL / ELT) processes.
  • Expert knowledge of SQL Server environments for designing and developing databases.
  • Highly proficient in PySpark and SQL.
  • Experience working with Power BI dataflows and job scheduling platform UC4 is beneficial.
  • Extensive experience working with complex systems to retrieve, analyze, and synthesize data.
  • Proven ability to communicate complex technical processes and data concepts in an understandable manner to business stakeholders.
  • Prior experience implementing end-to-end data pipelines for large datasets using cloud and on-premise stacks.
  • Salary – $150k-$170k Per Annum Bonus (20%) Benefits

    Please send resumes directly to patrick.hindmarsh@stottandmay.com and we can look to run through the specifics.

    I look forward to hearing from you.

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    Remote working / work at home options are available for this role.

    Salary : $150,000 - $170,000

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