Data Engineer – Data Analyst Returnship (On-site – Erlanger, KY)
The Data Engineer / Data Analyst will join a team passionate about engineering data solutions to inform business decisions and transform business performance. ADM’s environment continuously integrating and deploying data products and analytics driving business value. The Data Engineer is responsible for delivery, adherence to standards, and mentoring junior team members. The Data Engineer is a team player who sees problems as challenges to be creatively solved in collaboration with other data engineers, data scientists, and business colleagues. The ideal candidate is a driven learner who develops and sharpens skills building data pipelines, transforming raw data into useful data systems, and optimizing the data delivery architecture.
Have you taken a career break and had your resume rejected because of a gap in your work history? ADM is offering a 12 week paid returnship from September 2024 – December 2024 for experienced professionals ready to return to the workforce.
If you have taken a break of at least one year for the following reasons, we welcome you to apply:
What You’ll Do:
Responsible to design, build, refactor, and maintain data pipelines using Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, and PySpark to meet business requirements for reporting, analysis, and data scienceResponsible to teach, adhere to, and contribute to DataOps and MLOps standards and best practices to accelerate and continuously improve data system performance Responsible to design, and integrate fault tolerance and enhancements into data pipelines to improve quality and performancePerform root cause analysis and solve problems using analytical and technical skills to optimize data delivery and reduce costs Mentor more junior Data Engineers
Who We’re Looking For:
Bachelor’s or Master’s degree in computer science, software engineering, information technology or equivalent combination of data engineering professional experience and education.3+ years proven Data Engineering experienceDemonstrated experience with Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, PySpark, Power BI or other cloud-based data systemsDemonstrated experience with Azure DevOps, GitHub, CI/CDDemonstrated experience with database storage systems such as cloud, relational, mainframe, data lake, and data warehouseDemonstrated experience building cloud ETL pipelines using code or ETL platforms utilizing database connections, APIs, or file-basedDemonstrated experience with data warehousing concepts and agile methodology Demonstrated experience designing and coding data manipulations applying processing techniques to extract value from large, disconnected datasetsDemonstrates continuous learning to upskill data engineering techniques and business acumenExcited about this role but don’t meet every requirement listed? Studies show that often applicants will self-select out if they don’t check every box. We encourage you to apply anyway. You may be just the right candidate for this role or another one of our openings.