About Brillio:
Brillio is the partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Backed by Bain Capital, Brillio is one of the fastest growing digital technology service providers. We help clients harness the transformative potential of the four superpowers of technology - cloud computing, internet of things (IoT), artificial intelligence (AI), and mobility. Born digital in 2014, we apply Customer Experience Solutions, Data Analytics and AI, Digital Infrastructure and Security, and Platform and Product Engineering expertise to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance. With delivery locations across United States, Romania, Canada, Mexico, and India, our growing global workforce of over 6,000 Brillians blends the latest technology and design thinking with digital fluency to solve complex business problems and drive competitive differentiation for our clients. Brillio was awarded ‘Great Place to Work’ in 2021 and 2022
AWS Data Engineer
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Brillio LLC is a fast growing, pure play Digital Transformation Solutions and Services firm backed by Bain Capital private equity. Founded in 2014 and headquartered in Silicon Valley, Brillio is focused on delivering design led solutions for our customers. We are not an IT Services company trying to pivot and support the “next big thing.” As a digitally native company, everything we have done and will continue to do, will have this laser focus.
Our culture is driven by Brillio’s Core Values and it is the foundation of who we are as an organization. We equip and empower our employees to push boundaries with an ‘Entrepreneurial’ spirit as they craft ‘Customer Success’ stories. With our customer-centric approach, we deliver ‘Excellence’ at every level of our collaboration and this is what fuels Brillio’s growth story. While we are proud of our journey so far, ‘We Care’ about our customers, employees and the community where we thrive in. We strive to stay committed to lighting up 100,000 young minds through our CSR efforts.
Role: AWS Data Engineer
Years of Experience: 6+ years
Travel Required: No
Location: Seattle, WA (Remote)
Job Description: We are looking for an experienced AWS Data Engineer to join our team and help us build and maintain our data infrastructure on AWS. As an AWS Data Engineer, you will work closely with data Architect, Business and Data analysts, BI Developer, Customer Business and engineering team, and other stakeholders to design, implement, and manage data pipelines and systems that support our business needs.
Key Job Responsibilities:
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Design, implement, and maintain data pipelines and data processing systems, ETL Infrastructure on AWS using technologies like Apache Spark, AWS Glue, AWS Lambda, and AWS S3 and strong Python and Pandas hands on experience.
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Collaborate with data Architect and analysts/BI Developer to understand their data requirements and design data models that meet their needs.
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Work with DevOps engineers to ensure that data pipelines are reliable, scalable, and secure.
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Monitor and troubleshoot data pipelines to ensure that data is flowing correctly and on time.
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Develop automation scripts to streamline deployment, testing, and maintenance of data pipelines and systems.
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Document technical designs, standard operating procedures, and best practices for data engineering on AWS.
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Keep up to date with emerging technologies and best practices in data engineering and recommend new tools and technologies as appropriate.
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Excellent communication and collaboration skills.
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Need strong commitment to project, Problem solving, Team Player
Preferred qualifications:
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Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
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3+ years of experience in data engineering with a focus on AWS technologies.
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Strong knowledge of AWS services such as S3, EC2, Glue, Lambda, and Athena.
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Experience designing and building data pipelines using Apache Spark.
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Experience working with SQL and NoSQL databases.
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Familiarity with ETL processes and tools such as Talend or Informatica.
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Strong scripting skills in Python or Java.
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