Data Architect Data Analytics

Found in: Jooble US O C2 - 1 week ago

McLean VA, United States Sky Solutions LLC Full time

Join Sky Solutions, LLC - Pioneering Digital Transformation Excellence



Welcome to Sky Solutions, LLC, a dynamic Digital Transformation Firm nestled in the vibrant heart of the Washington D.Metro Area. We specialize in empowering leading organizations in the Financial Services and Healthcare sectors, achieving remarkable business outcomes through cutting-edge Digital Process Automation (DPA) and innovative Low-Code/No-Code Application Development. As a certified Small Disadvantaged Business (SDB) with Minority Owned certifications, diversity and equal opportunity are integral to our mission. Embark on our journey of innovation and transformation, where your skills align seamlessly with our commitment to excellence.



Position Title: Data Engineer

Note: Work from Office 5 days a week



Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.



As a big data engineer, you'll implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you'll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use big data for good.



5+ years of experience designing, developing, operationalizing and maintaining complex data applications at enterprise scale.

3+ years of experience creating software for retrieving, parsing and processing structured and unstructured data.

3+ years of experience building scalable ETL/ELT workflows for reporting and analytics. Experience with Python, SQL, Scala, or Java.

Experience with UNIX/Linux, including basic commands and Shell scripting.

Experience with Amazon Web Services environment or other cloud service provider.

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