Senior Data Engineer

Company Description

CRB's over 1,100 expert professionals drive innovative, life-changing and life-saving solutions for manufacturers in the life sciences and food and beverage industries. Our mission, vision, and core values put client satisfaction and employee experience at the center of everything we do.

As an AEC Firm we proudly specialize in industries that inherently carry important social responsibility - we recognize our impact and influence in the communities we serve and pursue corporate responsibility through the lens of people, community, and planet. From oncology and rare disorders to COVID-19 or alternative proteins, our design and construction projects are pioneering solutions addressing important issues such as food scarcity and global health.

Job Description

CRB is looking for an energetic, self-motivated, pro-active, organized, and well-rounded individual that has a good understanding of Microsoft’s data, reporting, and business intelligence tools to assist in delivering on our internal data and business intelligence initiatives.  

The successful candidate must possess the skills required to successfully execute project tasks, have a strong work ethic, and be a dynamic team player. This person will be expected to plan and execute multiple, simultaneous, large or long duration projects. In addition to project work, this individual will work with peers to assist in the identification, planning, and delivery of strategic infrastructure and analytical capabilities that will provide actionable information to the business. 

• Elicit data related business requirements from stakeholders and develop or approve associated technical specifications.  

• Design, implement, and maintain ETL processes to facilitate warehousing and systems integration needs.  

• Develop and enhance data models to deliver value to the organization.  

• Maintain, monitor, optimize, and troubleshoot/resolve issues with existing processes.  

• Contribute to the development of standard methods and best practices for the transformation and preparation of data for reporting, analytics, and self-service activities.  

• Contribute to reporting and visualization projects as needed.  

• Apply data team best practices regarding documentation, access, and security.  

• Participate in discipline related internal and external project communication and coordination.  

• Implement data quality checks and validation processes.  

• Incorporate data classification into ETL processes and data masking techniques to ensure model security.  

• Elicit and participate in code reviews with other members of the team.  

• Ensure the accuracy, completeness, and reliability of data used for analysis. 

• Design and implement robust data architectures to support scalable and maintainable data pipelines. 

• Research and adopt new technologies and methodologies to keep the data infrastructure modern and efficient. 

• Develop strategies for integrating data from disparate sources into a cohesive and comprehensive data ecosystem. 

• Automate data processes to improve efficiency and reduce manual intervention. 

• Ensure compliance of data protection regulations and ensure confidentiality of sensitive information. 

• Mentor junior data engineers and contribute to their professional growth within the organization. 

• Travel as required for project development and execution. 

Qualifications

• Bachelor’s Degree or equivalent experience.  

• 7+ years of experience working with Microsoft SQL databases and warehousing tools, including SQL Server, Azure SQL, and Synapse SQL.  

• 7+ years of experience developing ETL processes using Microsoft technologies, such as SSIS, Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric.  

• 7+ years’ experience developing Microsoft Analysis Services Tabular, Power BI, or Fabric semantic data models.  

• Experience leveraging medallion architecture design patterns.  

• Proficiency using Azure Gen2 Storage, Synapse, Fabric, Spark Notebooks, REST API’s, Databricks and related technologies.  

• Expert proficiency in Data Warehousing methodologies and concepts to store and model the data (Kimball).  

• Expert proficiency authoring SQL queries, tables, views, stored procedures, and functions.  

• Experience using software development mana