Senior Data Engineer

3 weeks ago


Chicago, Illinois, United States Wise Skulls Full time

About the Role:

We are seeking a highly skilled Senior Data Engineer to join our Enterprise Data team at Wise Skulls. As a Senior Data Engineer, you will be responsible for designing and developing data solutions that are strategic for the business and built on the latest technologies and patterns.

Key Responsibilities:

  • Design, architect, and develop solutions leveraging cloud big data technology to ingest, process, and analyze large, disparate data sets to exceed business requirements.
  • Develop systems that ingest, cleanse, and normalize diverse datasets, develop data pipelines from various internal and external sources, and build structure for previously unstructured data.
  • Interact with internal colleagues and external professionals to determine requirements, anticipate future needs, and identify areas of opportunity to drive data development.
  • Develop good understanding of how data will flow and be stored through an organization across multiple applications such as CRM, Broker & Sales tools, Finance, HR, etc.
  • Unify, enrich, and analyze variety of data to derive insights and opportunities.
  • Design and develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases, and enhancing our data processing capabilities.
  • Develop POCs to influence platform architects, product managers, and software engineers to validate solution proposals and migrate.
  • Develop data lake solution to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform.
  • Contribute and adhere to CI/CD processes, development best practices, and strengthen the discipline in Data Engineering Org.
  • Mentor other members in the team and organization and contribute to organization's growth.

Requirements:

  • 6+ years of work experience and a bachelor's degree in Information Science, Computer Science, Mathematics, Statistics, or a quantitative discipline in science, business, or social science.
  • Hands-on engineer who is curious about technology, should be able to quickly adapt to change, and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure (preferred), etc.), Micro Services, Streaming Technologies, Network, Security, etc.
  • 3 or more years of active development experience as a data developer using Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search, etc.
  • Team player, reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross-functional teams.
  • 3+ years of experience working with source code control systems and Continuous Integration/Continuous Deployment tools.
  • Independent and able to manage, prioritize, and lead workload.

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