KNOWLEDGE SERVICES IS ACTIVELY SEEKING A DATA ENGINEER FOR A 12-MONTH CONTRACT (POTENTIAL TO EXTEND) WITH THE NCAA IN INDIANAPOLIS, IN.

• This is a hybrid work schedule working a couple of days onsite each week in downtown Indianapolis
• Applicants must be able to interview in person
  Responsibilities:

Data Engineer Responsibilities:

• Work with a small team of experienced data warehousing professionals to apply data engineering and technical skills to assist in the on-going management and development of a mature and broadly used data warehousing/business analytics program.
• The focus will be on monitoring and supporting current data marts as business requirements, underlying source systems and data mart management procedures change and evolve.
• This role will also be involved with the innovation effort for migrating processes to Azure Synapse or similar cloud native platforms.
• Assist team with managing and maintaining the Microsoft Business Intelligence stack data warehousing environment and data marts according to business requirements and data warehousing best practices.
• Apply analytical and problem-solving skills when engaging with business process owners to understand how best to fulfill their business analytics needs.
• Collaborate among the team and with business process owners and source system developers to keep informed of underlying business requirements and source system changes that should be accommodated in a data mart.
• Assist with optimizing the architecture and operation of the data warehouse according to refactored data mart development practices.
• Migrate data marts from on premises hardware to Azure/cloud computing.

Qualifications:

Data Engineer Requirements:

• Bachelor’s degree required; Advanced Degree Preferred
• Must have at least 3 years of data engineering experience
• Prefer experience including SQL, PL/SQL, .Net/C#, JSON, XML, SQL DBA, Snowflake, Informatica, Azure/cloud computing, Tableau, SSRS, Excel, SharePoint

KEY COMPETENCIES:

• Data and tech savvy and innovative – strong analytical, problem-solving skills and endless curiosity.
• Personal development focus – actively seeking new ways to grow and be challenged using both formal and informal development channels including collaborating with experienced teammates.
• Action oriented – taking on assignments with a sense of urgency, energy and enthusiasm.
• Drives results – consistently achieving results through focus, subject-matter knowledge and determination.
• Communicates effectively – developing, delivering and participating in communications that is collegial, clear and meets the needs of a variety of audiences.
  Knowledge Services is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

• Work with a small team of experienced data warehousing professionals to apply data engineering and technical skills to assist in the on-going management and development of a mature and broadly used data warehousing/business analytics program.
• The focus will be on monitoring and supporting current data marts as business requirements, underlying source systems and data mart management procedures change and evolve.
• This role will also be involved with the innovation effort for migrating processes to Azure Synapse or similar cloud native platforms.
• Assist team with managing and maintaining the Microsoft Business Intelligence stack data warehousing environment and data marts according to business requirements and data warehousing best practices.
• Apply analytical and problem-solving skills when engaging with business process owners to understand how best to fulfill their business analytics needs.
• Collaborate among the team and with business process owners and source system developers to keep informed of underlying business requirements and source system changes that should be accommodated in a data mart.
• Assist with optimizing the architecture and operation of the data warehouse according to refactored data mart development practices.
• Migrate data marts from on premises hardware to Azure/cloud computing