DTE is one of the nation's largest diversified energy companies. Our electric and gas companies have fueled our customer's homes and Michigan's progress for more than a century.And as Michigan's largest source of renewable energy, we're creating a cleaner, healthier environment to power our future. We're also serving communities beyond Michigan, where our affiliated businesses offer renewable energy, emission control technologies, and energy services to industries in 19 states.
But we're more than a leading energy company... and working at DTE is more than just a job.At DTE, we take great care of each other and our customers, and we use our energy to be a force for growth and prosperity in our communities. When you join us, you'll be part of a team that welcomes, recognizes, and celebrates differences and values everyone's health, safety, and wellbeing. Are you ready to make that kind of difference? Bring your energy to DTE.Together, we can achieve great things.
Testing Required: Not Applicable
Hybrid Role: Must be able to come on-site periodically and reside a commutable distance from the assigned work location.
Emergency Response: Yes - Must be available to perform a primary assignment in support of DTE's emergency response to storms or other events that impact service to our customers.
Job Summary
Leads data integration and analytics projects that support data collection, automation, transformation, storage, delivery, and reporting processes. Serves as senior advisor for large business unit or enterprise-level data projects. Optimizes data retrieval and processing, including performance tuning, delivery design for down-stream analytics, machine learning modeling (including feature engineering), and reporting. Mentors less-experienced team members Span of control: 0; individual contributor.
Key Accountabilities
Leads data engineering projects and collaborates with stakeholders to formulate end-to-end solutions, including data structure design to feed downstream analytics, machine learning modeling, feature engineering, prototype development, and reporting
Develops complex data sets and automated pipelines that support data requirements for process improvement and operational efficiency metrics
Designs and implements data process pipelines in on-premise or Cloud platforms required for optimal extraction, transformation, and loading of data from multiple data sources
Builds reporting and visualizations that utilize data pipeline to provide actionable insights into compliance rates, operational efficiency, and other key business performance metrics
Designs and implements effective testing strategies for data pipelines and processing methods
Deploys and automates Machine Learning Models in a data environment (e.g., SQL server, Cloud platform, on-premise servers and machines), including workflow orchestration, scheduling and advanced data processing implementation, and data delivery tools
Educates leaders and other employees on complex data and analytical findings in basic terms and with storytelling and data visualization
Researches and maintains industry best practices for data engineering practices and solutions
Minimum Education & Experience Requirements
This is a dual-track base requirement job; education and experience requirements can be satisfied through one of the following two options:
Bachelor's degree with emphasis on coursework of a quantitative nature (e.g., Computer Science, Mathematics, Physics, Data Science, Econometrics, etc.) and 6years of experience working in a data engineering, data analytical or computer programming function; OR
Master's degree with emphasis on coursework of a quantitative nature (e.g., Computer Science, Mathematics, Physics, Data Science, Econometrics, etc.) and 4 years of experience working in a data engineering, data analytical or computer programming function
PhD degree with emphasis on coursework of a quantitative nature (e.g., Computer Science, Mathematics, Physics, Data Science, Econometrics, etc.) and 2years of experience working in a data engineering, data analytical or computer programming function
Other Qualifications
Preferred Qualifications:
Business domain knowledge
Database design and query optimization experience
Knowledge in programming languages platforms and tools such as Python, SQL, Databricks, Azure.
Knowledge in creating applications and dashboards such as Power BI.
Proficiency in data analysis and interpretation to make informed decisions and identify trends.
Knowledge in data science concepts such as Machine Learning.
Other Requirements:
Advanced-level programming skills in structured query language (e.g., SQL, Java, Python, etc.)
Advanced ability in articulating business questions and pulling data from relational databases
Advanced-level proficiency in business intelligence tools and data blending tools (e.g., Microsoft Power Platform, Power BI, etc.)
Advanced-level proficiency with Big Data platforms, including data extraction and connection to platforms for analytics
Ability to adapt to software platforms for retrieving, analyzing, sharing, and visualizing data
Ability to identify optimal analytical tools based on problem requirements
Analytical, problem solving, planning, and decision-making skills, with ability to identify key issues from a broad range of alternatives and recommend optimal solutions
Advances self and other's knowledge in business processes, new analytical frameworks, and data-driven technologies and applications
Ability to communicate technical information and... For full info follow application link.
DTE Energy is an equal opportunity employer and considers all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, age, religion, disability, national origin, citizenship, height, weight, genetic information, marital status, pregnancy, protected veteran status or any other status protected by law.
