Mid-Level/Lead DATA ENGINEER-Python, AWS, Spark (Hybrid-TX & IL)
Job Description
This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.
About this kind of role
What a Mid-Level/Lead DATA ENGINEER-Python, AWS, Spark (Hybrid-TX & IL) usually does. The employer's own details are in the listing.
Typically does: A Data Engineer builds and maintains data pipelines, transforming raw data into usable formats for analysis and reporting. This involves designing, developing, and optimizing data systems, ensuring data quality and reliability. They often collaborate with data scientists, analysts, and other engineers to meet business needs and improve data infrastructure. Responsibilities can include data modeling, ETL processes, and database management.
Tools and skills: Proficiency in programming languages like Python, experience with cloud platforms such as AWS, and familiarity with big data technologies like Spark are typically required, alongside SQL and database management skills.
Good fit for: Individuals with strong analytical and problem-solving abilities, a passion for data, and a collaborative approach to working with diverse teams often thrive in this role.
??? people applied to this job
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