Job Description
Position Overview/Purpose
Opportunity for a seasoned software engineer to accelerate Darling Consulting Group’s (DCG) data-driven initiatives in support of our rapidly growing software and data analytics businesses and the expansion of our service offerings to the banking industry. This individual will be responsible for building and maintaining a data platform and data tools across our software products and data warehouse solution. The position is also responsible for collaborating with key stakeholders on current and future needs for our data platform that will ensure a scalable, reliable, and secure data footprint. This person should be energized by the opportunity to work with large data sets and have expertise in the creation and management of data sets. Having expertise in Relational, Non-relational, and NoSQL databases is a must.
Responsibilities:
- Develop, design, and maintain solutions on a platform dedicated to large-scale processing of various data sets.
- Architect, build, and operate future data architecture for our products and services on public cloud data platforms.
- Work with broader engineering team in an Agile/Lean/DevOps environment to build web-based distributive systems on cloud platforms.
- Drive projects from inception to delivery.
- Build/enhance software and/or implement technologies in support of data operations.
Requirements
- 10+ years of experience in distributed systems, some of which are in data warehouse or data infrastructure software development.
- Experience building and maintaining enterprise software with .Net technologies and Python.
- Deep understanding of engineering best practices for the full software development life cycle, including coding standards, code reviews, continuous integration, and SRE best practices.
- Proficiency in working with polyglot data stores, including relational databases (Oracle, SQL Server, MySQL), NoSQL (MongoDB, Cassandra, Elastic) and Data Warehouses (Redshift, Snowflake).
- Prior development experience building ETL processes and/or data pipelines for large data sets.
- Experience working with public cloud PaaS offerings and various SaaS solutions.
- Strong documentation and organizational skills.
- Desire and aptitude to pick up new technologies quickly.