Data Engineer - Tandym

We are seeking a Data Engineer to join our team and lead the design and implementation of our data strategy. This role is critical in ensuring the success of our data architecture in Azure, as well as in governing, managing, and maintaining high data quality standards. The ideal candidate will have extensive experience in Azure and knowledge of relevant data management practices and tools. Specifically, in Data Storage, Data Integration/ETL, Big Data and Analytics, Data Governance and Security, Data Management, Business Intelligence, Azure Monitoring/Management, and Azure DevOps.

About the Opportunity:

• Hybrid: 2-3 days a week on-site
• Schedule: M-F

Key Responsibilities:
* Data Asset Management: Shape how data is stored, managed, and utilized within the organization, ensuring that data assets are effectively leveraged to drive business success.
* Design and Implementation: Lead the design, implementation, and maintenance of our hub & spoke data architecture in Azure.
* Data Governance: Develop and enforce data governance policies and procedures to ensure data integrity, security, and compliance.
* Data Quality Management: Establish and oversee data quality standards and processes to ensure the accuracy, consistency, and reliability of our data.
* Collaboration: Work closely with data developers, junior data developers, and other stakeholders to ensure seamless integration and alignment with business goals.
* Mentorship: Provide guidance and support to the data team, fostering a culture of continuous learning and improvement.
* Vendor Management: Assist in the evaluation and selection of data management tools and technologies.
* Documentation: Create and maintain comprehensive documentation for data architecture, processes, and standards.
Qualifications:
* Education: Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience.
* Experience:
o 3 to 5 years of experience in data architecture, data management, or a related field.
o Proven experience with Azure data services.
* Technical Skills:
o 3 to 5 years' experience in data modeling, database design, and data warehousing.
o 3 years' experience in SQL and other database query languages.
o 2 to 3 years' experience with big data technologies and cloud computing.
o 1 to 2 years' experience understanding of data governance and data quality management principles.
o Experience in designing data architectures.
o 2 to 3 years' experience in data management, including evaluating and implementing data management tools and technologies.
o 3 to 5 years' experience in Strategic Planning.
o 3 to 5 years Performance Optimization of data systems
* Soft Skills:
o Excellent communication and interpersonal skills.
o Strong analytical and problem-solving abilities.
o Ability to work collaboratively in a team environment.
Preferred Qualifications:
* Knowledge of data management tools such as Informatica or Qlik Talend.
* Experience with IBMi main frame.
* Experience with MS-SQL, DB2, Oracle databases.
* Experience with ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes.
* Experience as Data Administrator, Date Engineer, Data Analyst, and Software Developer.
* A master's degree is a plus.