Do you want to work for a Championship organization? We have the job for you! The Miami HEAT Strategy & Data Analytics department is seeking a Data Engineer! The Data Engineering role will work on the design, development, deployment and management of the data platform architecture and integration strategies.
Essential Duties & Responsibilities:
ESSENTIAL FUNCTIONS: The following are examples of the various functions required. The job requirements are not limited to the items on this list.
- Development of the best in-class strategies and practices for data acquisitions, archival, recovery and implementation of structured/ unstructured data stores, and data orchestration/integration processes, demonstrating Microsoft Azure/Databricks data management technologies.
- Define and develop processes to ensure the highest data quality and integrity in cross-environment data stores.
- Partner closely with the Data Analytics teams to understand their data requirements for existing and future projects on data analytics applications.
- Research and recommend new toolsets/methods to improve data ingestion, storage, and data access in the analytics platform.
- Follow cost-effective and scalable cross-platform solutions that best meet current and future business needs.
- Implement projects using an agile approach in a multi-disciplinary, matrix environment.
Desired Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Strong hands-on experiences in design and implementation of databases, data warehouses & multifaceted databases.
- Advanced experience with design & implementation using T-SQL.
- Hands on experience with developing using Python and Spark SQL.
- Working experience of crafting & developing solutions in Microsoft Azure/Databricks with focus on data preferred.
Education and/or Experience:
- Bachelor's degree (B.A.) in information systems, computer science, information technology or a related field. Advanced degree preferred.
- 3+ years of experience working in data warehousing or data analytics.
- 2+ years of experience in architecting/implementing data processes and platforms.
- 1+ years of experience in Data Architecture.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender/gender identity, age, disability, marital status, sexual orientation, pregnancy, genetic information, national origin, citizenship status, veteran status, and any other legally protected status entitled to protection under federal, state, or local anti-discrimination laws. EOE & DFWP