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Data Engineer II

August 27

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Kueski

¡Las mejores cosas suceden en Kueski! #Kueskilife #Kueskiway

Fintech • Finance • Development • technology • data

501 - 1000

đź’° $23.3M Venture Round on 2022-10

Description

• Develop complex data processing systems to support data consumers and provide data-driven solutions • Design robust data-driven solutions at scale that support long-term needs • Develop CI/CD pipelines to automate production deployments and monitoring • Develop infrastructure as code to deploy automated, clean, and organized infrastructure • Apply data cleansing techniques to facilitate data consumption and quality • Provide guidance to others to strengthen their solutions with experience

Requirements

• Ability to transform requirements into working software in production • Ability to collaborate in an interdisciplinary team • Ability to undertake and lead medium to complex projects that require multiple iterations and may involve different technologies • Knows how a good Software Development Lifecycle (SDLC) is organized • Knows how the non-functional requirements are part of delivering a solution • Design, implement, test, and deploy production-ready code • Design and implement reliable solutions to data processing problems • Design, build, and debug Spark-based applications • Make partnerships with data consumers to apply large-scale data analytics and machine-learning techniques • Strong technical background in programming, preferably with Java & Python, and Scala is a plus • Strong knowledge of SQL traditional query development • Experience and understanding of software design patterns • Experience working with database engines • Experience using distributed programming engines for data processing with Spark • Experience integrating, designing, and building data pipelines • Experience deploying and maintaining data pipelines in production • Knowledge of big data AWS cloud services: S3, EC2, Glue, Athena, EMR • Experience developing high-level streaming solutions is a plus • Experience developing infrastructure as code tools is a plus • Experience with non-relational databases is a plus • Experience working with BI tools is a plus

Benefits

• Mission-driven culture focused on customer value, teamwork, humility, and integrity • Role clarity, career growth, and personal development plans • Competitive salary, medical insurance, ample time off, and mental healthcare benefits • Competitive stock options with a company poised for success

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