Vacancy expired!
The speed of technology. The influx of data. Shifting regulations. Increased customer expectations.
That's where you'll find SS&C, helping clients find opportunity in ever-changing and complex customer, business, and regulatory requirements. Mastering complexity is a constantly changing and evolving challenge - one that only a few people can embrace and thrive upon.If you see your opportunity in complexity , then we are the right fit for you.Job Description:Job DescriptionDomaniRx is a newly formed organization focused on shaping the future of Pharmacy Benefit Management by delivering a cloud-native, API-driven claims adjudication platform. Our team is made up of engineers with varying levels of professional experience and backgrounds, from new graduates to 20-year veterans of the healthcare industry. We are looking for creative engineers and technologists: relevant industry experience is important, but less so than your demonstrated abilities, passion, and attitude. We're always improving, and we are looking for individuals that enjoy being challenged and have a strong desire to make our platform the best in the industry. As a Senior Data Engineer, you will use a variety of technologies to help build analytic solutions for our customers and internal stakeholders. Responsibilities- Help shape the technical direction of our new cloud-native Reporting and Analytics platform
- Build a reliable and scalable Single Source Of Truth (SSOT) data environment for internal and external reporting and analytics
- Partner with data analysts and other data engineers to translate business requirements into designs for scalable data pipelines with measurable transformation quality
- Develop and automate large-scale, high-performance data solutions that ensure reliability, meet critical business requirements, and satisfy SLAs
- Build, maintain, and monitor optimized and highly-available data pipelines for near-real-time data replication and transformation between databases
- Develop and maintain multi-layer OLAP data warehouse including raw, cleaned, and business-ready data
- Organize and maintain documentation for ETL pipelines and other data-related processes
- Work proactively as a self-starter with minimal supervision
- Possible future growth - work with data analysts/scientists to develop and implement data products that include machine learning models or other forms of advanced analytics
- Bachelor's degree in Computer Science/Engineering, Applied Mathematics, Data Analytics, or related technical field (or equivalent work experience)
- 5+ years' of experience in a data engineering role in a fast-paced environment and complex business setting
- 5+ years' of experience with relational databases in various environments (Snowflake, Databricks, Postgres, YugaByte, etc.)
- 3+ years' experience with advanced SQL, SQL performance tuning in OLAP databases, and Data Warehouse/Data Lake environments
- 3+ years' experience building ETL data pipelines using a tool such as Talend, IBM IIDR, Informatica, or Data Bricks
- Solid programming foundation and proficiency with common data analytics languages such as Python or R
- Experience with reporting tools like Power BI, Tableau, or similar BI software
- Familiarity with DevOps workflows and tools like GitHub
- Excellent written and verbal communication skills
- Experience with "change data capture" replication tools such as Talend or IBM IIDR
- Experience with containerization technologies such as Docker
- Experience with a variety of big data or NoSQL database technologies
- Experience working with and maintaining systems utilizing open-source software
- Experience with data modeling and design
- Desire to participate in building a new reporting & analytics system from the ground up
- Desire to embrace and lead change within the organization
Vacancy expired!