W-2 Only. $63/hr. No Sponsorship Available . On-Site in Cincinnati, Ohio
For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients’ critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.
What You’ll Do
Squad: FDIC Engine - This squad works with traditional data engineering tools to calculate FDIC insurance at individual customer level with complex SQL logic built in Datastage and IBM DB2. They team is starting to explore a more modern tech stack aligned to our Data Strategy. There is currently a FDIC SME gap that can understand the business logic to help calculate FDIC insurance at a customer and bank level. I'd prefer this person to be technical in nature and SME for business.
Business Mindset: Would love to have a BA or Engineer that can understand business logic for FDIC 370.
Technical Skills: SQL, SQL, and SQL
Soft Skills: Communication, Driven, Curious, Positive Attitude
Onsite: 4 Days (M,Tu,W,F)
Tech Stack on Squad: IBM DB2, Datastage.. but will modernize to Snowflake & dbt eventually.
Job Summary: Handle the design and construction of scalable management systems, ensure that all data systems meet company requirements, and also research new uses for data acquisition. Required to know and understand the ins and outs of the industry such as data mining practices, algorithms, and how data can be used. Primary Responsibilities: • Design, construct, install, test and maintain data management systems. • Build high-performance algorithms, predictive models, and prototypes. • Ensure that all systems meet the business/company requirements as well as industry practices. • Integrate up-and-coming data management and software engineering technologies into existing data structures. • Develop set processes for data mining, data modeling, and data production. • Create custom software components and analytics applications. • Research new uses for existing data. • Employ an array of technological languages and tools to connect systems together. • Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project’s goals. • Install/update disaster recovery procedures. • Recommend different ways to constantly improve data reliability and quality. Qualifications: • Technical Degree or related work experience • Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.) • Experience programming and/or architecting a back end language (Java, J2EE, etc)
What You’ll Get
SDS, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.