This is a contract role through Magnit for Consumers Energy. This role will be onsite in Jackson, MI.
Responsibilities:
- Work with Various Stakeholders/IT to design and build efficient data pipelines
- Build analytic tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Assemble and clean big data; complex data sets including various data sources
- Built and design various ETL’s using technologies like Python, APIs, and data pipelines as per IT standards for Cloud and On-Premise Data Lake and Reporting solutions.
- Create data visualizations using various tools like Power BI, Tableau.
- Assemble large complex data sets to meet functional business requirements.
- Identify and improve internal process to automate manual data wrangling, optimizing performance, and improve data quality
- Assemble large, complex data sets that meet functional / non-functional business requirements Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
Requirements:
- Experience with big data tools: Hadoop, Spark/Scala, Kafka, etc.
- Experience with data pipeline and workflow management tools such as Oozie, Control M etc.
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Any knowledge of Data Science Models - Minimum 8 years experience.
Hourly Pay Rate Range (dependent on location, experience, expectation)
The pay range that Magnit reasonably expects to pay for this position is: $ 71 - $89/hr
Benefits: Medical, Dental, Vision, 401K (provided minimum eligibility hours are met)
All qualified applicants will not be discriminated against and will receive consideration for employment without regard to protected veteran status, disability, race, color, religion, sex, age, sexual orientation, gender identity or national origin.