[Hiring] Senior Data Engineer @DMS Vision

Role Description

Senior Data Engineer to join the Public offering review system team in Business, Legal, and Enterprise Systems. As the data engineer on the team, you are responsible for building the new database and reporting infrastructure by working with the engineering team, business users, product management, and the cross-functional partners.

• Collaborate and Design
  • Work with software engineers and the product team to understand various databases involved, existing and new data models, and current reporting infrastructure and its limitations.
  • Collaborate with business users and product manager to understand business requirements for reporting and translate results into technical data designs.
  • Establish documentation of new database and reports, develop, and support technical specifications for all reports and processes.
  • Create a new reporting infrastructure to establish a scalable reporting framework.
• Develop/Build
  • Design and support the reporting datastores and schemas for new and existing data sources for the reporting framework.
  • Design and develop systems for the import and maintenance of the business's reporting datastore in the cloud, ETL processes, and business intelligence.
• Document/Teach
  • Document the report datastore schemas and ETL processes in our internal wiki to create a reporting knowledge repository.
  • Share/teach reporting good practices to other engineers and business users.

Qualifications

• 7+ years of related data engineering experience with varied forms of data infrastructure and building scalable data pipelines.
• A successful history of manipulating, processing, and extracting value from disconnected datasets.
• Understanding of Data Engineering tools/frameworks and standards to improve productivity and quality of output for other engineers across the team.
• 5+ years of experience working in a technical environment with the latest technologies like AWS data services (Athena, EMR, Kinesis) or similar Apache projects (Spark, Flink, Hive, or Kafka).
• Advanced working SQL knowledge and experience working with relational databases and non-relational datastores.
• Strong programming skills (preferably in Python and Java).
• Knowledge of Business Intelligence Tools (PowerBI preferred).
• Excellent communication skills and experience supporting and working with cross-functional teams in a dynamic environment.