- Design, develop, and maintain logical and physical data models for cloud-based data warehouses and databases.
- Work closely with cross-functional teams to gather requirements and provide data modeling solutions that align with business objectives.
- Collaborate with Data Engineers, Report Developers other IT professionals to implement and validate data models.
- Develop and implement data governance framework including policies, standards and processes.
- Maintain and update data catalog ensuring accurate metadata and data lineage.
- Stay updated with industry trends and advancements in data modeling and cloud technologies.
- Bachelor's degree in computer science, Information Technology, or a related field.
- 7-9 years' experience as a Data Modeler, with a strong portfolio of data modeling projects.
- Proficiency in data modeling tools such as Erwin, Toad Data Modeler, IBM InfoSphere Data Architect, and Microsoft Visio.
- Hands-on experience with cloud platforms, preferably Azure (SQL Database, Data Lake), or AWS (Redshift, S3, RDS), OR Snowflake.
- Strong understanding of data warehousing concepts, database design, and data architecture.
- Working knowledgeable of business intelligence/reporting solutions like PowerBI, Tableau etc.
- Excellent analytical, problem-solving, and project management capabilities.
- Prior experience working in Enterprise Agile/Scrum teams.
- Certification in data modeling or cloud technologies (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate).
- Knowledge of SQL and database performance tuning.
- Prior Fintech, prepaid card experience.
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Data Modeler - Conshohocken, United States - Onbe
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Description
Onbe, a fast-growing FinTech, bringing innovation to a rapidly growing global marketplace, stands for "on behalf." Because that's exactly how we work: on behalf of our clients, as their comprehensive payments partner. We transform the way payments are imagined - as an opportunity for innovation, a source of insight to customers, and a way to connect with partners around the globe
Summary: The Data Modeler will be part of the Data/Technology org at Onbe. The Data Modeler role is pivotal in crafting high-performance, scalable dimensional models for enterprise reporting application at Onbe. Collaboration with data architects, product and business stakeholders will be key success factor for this role.
This role is a hybrid role that will work onsite 1-2 days per week at our Conshohocken, PA location. Occasional travel may be required as part of this position. #LI-Hybrid
Responsibilities:
At Onbe, a diverse group of people, ideas, and perspectives are key to achieving phenomenal things. For over 25 years, our focus has remained on building a culture of openness and ingenuity, where employees come together to innovate and build disbursement solutions that make the lives of our clients and their consumers and workforces easier and better. Our definition of success includes celebrating differences and affirming belonging. To that end, we ask employees to come to Onbe as they are and contribute their diverse perspectives, identities, and experiences.
We believe that the recruiting phase is only the very beginning of diversity and inclusion. At Onbe, we're constantly evolving the way we celebrate diversity every day and in everything we do. With several internal committees that are dedicated to mental and physical wellness, diversity, inclusion, and community outreach, we are committed to making a culture that is inclusive to all.
Onbe is proud to be an equal opportunity employer. We seek out ways to create a mindful workforce that embraces diversity and celebrates a culture of inclusion. We do not discriminate against employees or job applicants on the basis of race, color, ancestry, national origin, sex (including pregnancy), gender identity, sexual orientation, marital or family status, religion, age, disability, genetic information or military service. Our equal opportunity policy applies to all decisions of employment including hiring, placement, promotion or advancement, termination, layoff, recall, transfer, compensation, training and leaves of absence