Engineering

Data Engineer

Titan Professional Resources

Data Engineer Oklahoma City, OK

Titan Professional Resources is hiring a Data Engineer. In this role, you will play a pivotal role in building, managing, and optimizing data pipelines for the Enterprise Data & Analytics initiatives. This role will be the key interface in operationalizing data and analytics on behalf of the business unit(s) and organizational outcomes. Apply today! 

Data Engineer Responsibilities:

  • Architect, build, and maintain data pipelines through acquisition, ingestion, staging, and modeling
  • Provide architectural input to program leadership for project teams to develop solutions that align with long-term data warehouse strategy
  • Strong experience with various Data Management architectures like Data Warehouse, Data Lake, Data Hub, Data Vault and the supporting processes like Data Integration, Governance, and Metadata Management
  • Strong experience working with large, heterogeneous datasets in building data pipelines and integrating datasets using traditional data integration technologies, including ETL/ELT, data replication/CDC, message-oriented data movement, and API-based data acquisition
  • Responsible for the identification and qualification of source data to satisfy master and transactional data requirements for the target warehouse
  • Lead data assessment and mapping activities, and develop the underlying migration framework to extract, transform, validate, enrich, and load the source data
  • Define reusable solution architectures using standard modeling practices
  • Design and deliver solutions that are reliable and scalable and focused on driving automation and improving productivity
  • Fundamental understanding of data warehousing principles
  • Ability to understand impacts of a solution architecture on corresponding design, build, and test efforts

Data Engineer Required Education and Experience:

  • HS Diploma or equivalent required
  • Bachelor’s degree in Business with MIS or technology related degree (C.S.) required
  • Strong experience with cloud data warehouses, such as Snowflake o Strong experience working with complex SQL code
  • Moderate experience working with open-source or commercial message queuing technologies, such as Azure Service Bus, Apache Nifi, Apache Kafka, etc.
  • Strong experience working with DevOps capabilities like version control, automated builds, testing, and release management using tools like Git
  • Moderate experience working with replication software such as Fivetran or HVR
  • Strong experience with ETL tools
  • SQL Server 2008+ experience a plus
  • SAP Hana experience a plus o Tableau experience a plus
  • Power BI experience a plus
  • R/Python experience a plus
  • Dbt experience strongly preferred

Tagged as: Data Engineer