September 26
πΊπΈ United States β Remote
π΅ $116k - $180k / year
β° Full Time
π‘ Mid-level
π Senior
π° Data Engineer
β’ As the Enterprise Data Architect and a skilled Data Cloud Engineer, you will design and develop innovative solutions for our data ecosystem. β’ You will contribute recommendations and roadmaps for future architecture. β’ Play a key role in maintaining and updating all strategic architecture plans and documentation. β’ Participate in technical and architecture activities for decision making. β’ Build POCs that can be evaluated by others and used to determine the viability of a solution. β’ Serve as a mentor to colleagues, sharing knowledge and expertise. β’ Provide innovative ideas leveraging cutting-edge technologies for data management and analytics. β’ Actively engage in the development of the enterprise data platform. β’ Contribute to the optimization of costs within the AWS data platform.
β’ College degree in Computer Science, Data Engineering, Computer Engineering, or related field of study. β’ B.S. or B.A. preferred. β’ 5 years or more of experience in a relevant technology field. β’ Proficiency in managing and optimizing AWS RedShift databases. β’ Hands-on experience in designing, building, and optimizing data pipelines on AWS using services like AWS Glue, Amazon EMR, or Apache Spark. β’ Experience in architecting and implementing data warehousing solutions on AWS, leveraging services like Amazon Redshift for scalable and high-performance analytics. β’ Expertise in designing and implementing Extract, Transform, Load (ETL) processes. β’ Essential expertise in Python programming within the context of data engineering. β’ Familiarity with serverless computing on AWS, utilizing services like AWS Lambda. β’ Knowledge of implementing robust data security measures on AWS. β’ Proven ability to implement monitoring solutions and optimize data engineering workflows on AWS. β’ Experience in collaborating with cross-functional teams and documenting data engineering processes. β’ Demonstrated capability in identifying and resolving data engineering challenges. β’ A commitment to staying updated on the latest AWS cloud data engineering trends.
β’ Competitive healthcare, dental & vision insurance β’ 401(k) matching after one year of employment β’ Generous time off + company holidays β’ Merchandise discount β’ Learning & Development programs β’ Much more!
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