Position: Data Modeler
Company: SoftServe
Category: Data Engineer
Experience required: 2y
English level: upper

**WE ARE**
Our client helps people move forward with credit, providing products that responsibly meet their needs. Whether this is offering new ways of accessing credit with a leading retailer or providing tools to facilitate customers’ management of their accounts, clients will continuously strive to help customers responsibly make the most of their credit.
Here, at SoftServe, we offer an approach to financial services which is in touch with people and their lives. It is an approach grounded in customer knowledge and differentiated by our passion to deliver the products, services, tools, and expertise that best meet our customers’ needs.

**YOU ARE**
A Data Modeler full of energy and enthusiasm to complement our existing development team to work on a strategic new project. Ultimately, a top-notch Data Modeler able to design models that reduce data redundancy, streamline data movements and improve enterprise information management.

• Experienced in requirements gathering experience in an agile data environment
• Skilled at documenting requirements using agile tools such as Jira and Confluence
• Experienced with querying data, data analysis and data profiling using SQL in standard database applications (e.g. Redshift AWS , SQL Server)
• Proficient at business process modelling
• Skilled at data flow modelling and data lineage modelling
• Fully aware of systems design techniques from requirement to HLD to • Detailed design stage in both waterfall and agile development models
• Great at communicating technical things
• A self-starter and a quick learner

Nice to have skills:
• Big Data environment exposure (AWS), Python skills
• Data modeling toolsets such as Embarcadero or Erwin (CA)
• ETL technologies (AWS Glue, Informatica, Ab Initio)
• Data Catalogue tools (e.gCollibra , Informatica)
• Finance / Banking domain knowledge

**YOU WANT TO WORK WITH**
• Analyzing and translating business needs into long-term solution data models
• Evaluating existing data systems
• User requirements gathering covering data and user tooling
• Business analysis and data modelling
• Creation of mapping documents
• Producing high and low level design documents
• Epic and Story creation and requirements review
• Solution workshops with the users to define and document scope

**TOGETHER WE WILL**
• Get a great deal of learning and development opportunities along with our structured career path
• Process dynamic projects and still have a stable place of work
• Take part in internal and external events where you can build and promote your personal brand
• Work with experienced specialists willing to share their knowledge
• Care about your individual initiatives: we are open to them, just come and share your ideas