Detroit Engineered Products

Senior Data Engineer (No Visa Sponsorship

US · Senior

Sponsorship not specifiedDetected 14 hours ago
JavaSQLRedshiftAWSCloud PlatformsData EngineeringData ScienceData VisualizationStatisticsAccessibilityAgileJiraAccountingExcelResearchProblem Solving

About the role

  • Work as part of a team designing, building, and maintaining our data infrastructure, ensuring accurate and timely data accessibility for teams and applications, often involving large datasets and complex systems. Key Responsibilities: • Responsible for designing, building, and maintaining the data infrastructure, including databases, data warehouses, and
  • data pipelines. • Collect data from various sources (databases, APIs, etc.) and implement efficient data pipelines to transform raw data into usable formats such as dashboards and associated reports and insights. • Ensure that data is stored securely, efficiently, and in a manner that is accessible for analysis and reporting. • Ensuring the accuracy,

Responsibilities

  • Ability to make decisions with sound judgment while complying with policies and procedures • Experience developing requirements for collection of and follow on use of data to inform the organization. • Working knowledge of technical concepts, strategies, methodologies, architectures, and technical standards • Self-starter with excellent attention to detail and able to stay organized
  • Responsible for designing, building, and maintaining the data infrastructure, including databases, data warehouses, and data pipelines.
  • Collect data from various sources (databases, APIs, etc.) and implement efficient data pipelines to transform raw data into usable formats such as dashboards and associated reports and insights.
  • Optimize data pipelines for speed, scalability, and performance, ensuring that data is available when and where it's needed.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure that data infrastructure meets their needs.
  • Troubleshoot issues with data infrastructure, monitor system performance, and perform regular maintenance to ensure smooth operation.
  • Support configuration control, documentation and change impact analysis on the businesses data architecture model including identification of Authoritative Source Of Truth (ASOT) databases, connectors to replicate data from ASOTS to Midas and/or AWS Cloud Environments through data transformation within Power BI.
  • Experience developing requirements for collection of and follow on use of data to inform the organization.

Requirements

  • Must have ability to work in a cross-functional team environment Ability to develop solutions to complex problems.
  • Experience Required
  • Bachelor's Degree in Data Management, Data Science, Math, Statistics or equivalent
  • Master's Degree in mathematics, statistics, business, engineering, physical/applied sciences, or management discipline (business administration, accounting, finance, economics or management information technology)
  • Proven ability to work within teams in which your contributions are critical to success.
  • Exceptional analytic skills with some knowledge of probability and statistics and mathematical programming.
  • Proficiency with tools such as Power BI, Visual Basic, MS Excel, AWS/AWS Redshift, SSAS, Dataiku, SQL, JAVA
  • Familiarity with Atlassian Jira or ServiceNow
  • Experience with structured problem solving techniques
  • Knowledge of technical requirements and systems relevant to Combat Vehicles

Nice to have

  • Skills Preferred
  • Experience Preferred

Benefits

  • Education Required
  • Education Preferred
Apply directly at Detroit Engineered Products →Create a free account for alerts like thisView Detroit Engineered Products immigration profile

This listing is sourced directly from Detroit Engineered Products's careers page and normalized into a canonical job model.