*THIS POSITION IS NOT ELIGIBLE FOR SPONSORSHIP*
Position Overview:
The ideal candidate should possess strong data modeling and data architecture skills for both analytics and transactional systems. Additionally, hands-on experience with at least one cloud data platform (Azure, Google Cloud, AWS) is preferred.
Key Responsibilities:
- Develop and maintain databases using the Microsoft SQL Server family suite, Azure SQL Server, Oracle, or other RDBMS.
- Write efficient SQL queries and use Python (including Spark) for data processing and transformation.
- Collaborate with cross-functional teams to design and implement data models for integration and analysis.
- Work on data integration projects, including ETL/ELT processes to ensure data quality and accessibility.
- Utilize Microsoft Azure technologies to enhance data solutions (experience in Azure is a plus).
- Participate in data analytics and visualization efforts, assisting in turning raw data into actionable insights.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field is a plus.
- 5+ years of progressive database development experience with a focus on Microsoft SQL Server family suite.
- Proficiency in SQL and Python (including Spark) is required.
- Experience with at least one cloud data platform (Azure, Google Cloud, AWS) is preferred.
- Strong understanding of data modeling and data architecture principles for analytics and transactional systems.
- Familiarity with the Microsoft Azure technology stack is advantageous.
- Experience with data analytics and visualization tools is a plus.
- Proven track record of successful data integration and ETL/ELT projects.
- Excellent problem-solving skills and a collaborative mindset.
- Strong communication skills to interact with cross-functional teams and stakeholders.