Matlen Silver
Data Engineer
Matlen Silver, Cincinnati, Ohio, United States, 45208
Job Title: Data EngineerContract To Hire: YesLocation:
Cincinnati, OH (Hybrid) 3 Days Each WeekCompensation:
$70/HourJob Overview:
Our client is seeking a dynamic Data Engineer to join our team and contribute to the development of our cutting-edge Data Platform for In-Store Pick-Up. This role is crucial in building a streaming data analytics platform to support our eCommerce team in proactive planning for peak times, such as Thanksgiving and Christmas. The ideal candidate will be a versatile engineer with a strong background in Python programming, data engineering, and data analysis.Key Responsibilities:Develop and maintain a streaming data analytics platform to enhance the eCommerce team's decision-making processes.Utilize Python for data engineering and analysis tasks, focusing on solving complex data-related challenges.Implement and manage data solutions using Azure technologies, including Azure Functions, Cosmos DB, and Synapse.Build and optimize metrics to provide actionable insights and support tactical positioning for high-impact events.Work with a lakehouse-based architecture, leveraging Delta Lake for both speed path and batch path data processing.Collaborate with a large team, including engineering managers, product managers, and scrum masters, to deliver high-quality solutions.Create and maintain advanced SQL queries and contribute to CI/CD pipeline processes.Qualifications:Proven experience in Python programming, with a strong focus on data-centric applications.Extensive knowledge of advanced SQL and experience with cloud platforms, particularly Azure.Familiarity with Azure Functions, Cosmos DB, Synapse, and Databricks is highly desirable.Strong understanding of object-oriented programming and data engineering principles.Experience in building and maintaining streaming data analytics platforms.Ability to work effectively in a collaborative team environment with minimal supervision.Previous experience in a fast-paced, tech-driven environment similar to Google, Microsoft, or Meta is a plus.Project Details:Join a team of 70 professionals, including 40 in Cincinnati, and collaborate closely with engineering managers, product managers, and scrum masters.Contribute to building a platform that supports strategic planning and operational efficiency for in-store pick-up.Engage in creating metrics and data insights to help the leadership team make informed decisions and optimize store operations during peak periods.
Cincinnati, OH (Hybrid) 3 Days Each WeekCompensation:
$70/HourJob Overview:
Our client is seeking a dynamic Data Engineer to join our team and contribute to the development of our cutting-edge Data Platform for In-Store Pick-Up. This role is crucial in building a streaming data analytics platform to support our eCommerce team in proactive planning for peak times, such as Thanksgiving and Christmas. The ideal candidate will be a versatile engineer with a strong background in Python programming, data engineering, and data analysis.Key Responsibilities:Develop and maintain a streaming data analytics platform to enhance the eCommerce team's decision-making processes.Utilize Python for data engineering and analysis tasks, focusing on solving complex data-related challenges.Implement and manage data solutions using Azure technologies, including Azure Functions, Cosmos DB, and Synapse.Build and optimize metrics to provide actionable insights and support tactical positioning for high-impact events.Work with a lakehouse-based architecture, leveraging Delta Lake for both speed path and batch path data processing.Collaborate with a large team, including engineering managers, product managers, and scrum masters, to deliver high-quality solutions.Create and maintain advanced SQL queries and contribute to CI/CD pipeline processes.Qualifications:Proven experience in Python programming, with a strong focus on data-centric applications.Extensive knowledge of advanced SQL and experience with cloud platforms, particularly Azure.Familiarity with Azure Functions, Cosmos DB, Synapse, and Databricks is highly desirable.Strong understanding of object-oriented programming and data engineering principles.Experience in building and maintaining streaming data analytics platforms.Ability to work effectively in a collaborative team environment with minimal supervision.Previous experience in a fast-paced, tech-driven environment similar to Google, Microsoft, or Meta is a plus.Project Details:Join a team of 70 professionals, including 40 in Cincinnati, and collaborate closely with engineering managers, product managers, and scrum masters.Contribute to building a platform that supports strategic planning and operational efficiency for in-store pick-up.Engage in creating metrics and data insights to help the leadership team make informed decisions and optimize store operations during peak periods.