The Cognition Group

Blog

Quisque ligula massa, ullamcorper vel quam quis

By The Cognition Group | September 25, 2020

Quisque ligula massa, ullamcorper vel quam quis, dignissim suscipit dui. Ut pellentesque semper ante et lobortis. Nunc id fermentum risus. Suspendisse elementum risus diam, vel hendrerit augue blandit dictum. Aliquam scelerisque arcu ac velit commodo, non pellentesque lectus luctus. Donec eu nibh tristique, viverra elit ac, dignissim erat. Aenean ligula dolor, venenatis ac posuere vitae, […]

Interdum et malesuada fames ac ante ipsum

By The Cognition Group | September 25, 2020

Nam euismod ornare erat, quis lobortis tortor vulputate nec. Mauris euismod nec elit vel sagittis. Etiam at bibendum urna. Pellentesque pharetra massa suscipit viverra lobortis. Sed dignissim semper tellus, nec tempus tortor commodo et. In at rhoncus magna, sit amet placerat turpis. In eleifend sollicitudin diam, id suscipit nisi consectetur nec. Ut convallis dapibus dui, […]

Neque porro quisquam est qui dolorem ipsum quia dolor sit amet, consectetur, adipisci velit

By The Cognition Group | September 25, 2020

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse quis enim ut neque bibendum sodales non vitae sem. Nulla accumsan neque at dapibus scelerisque. Proin in mattis erat, vel dapibus tellus. Vivamus sed enim nibh. Phasellus in quam vestibulum, feugiat nibh in, condimentum nulla. Nulla vitae ante suscipit, maximus nunc ac, feugiat magna. Aenean accumsan […]

How To Write a Better Job Description (and Why You Should Care)

By The Cognition Group | September 25, 2020

After many years as professional recruiters, we find that nearly all hiring managers agree on some basic truths: Employees are by far the most critical asset to any company. Culture building in collaboration with those employees is key to company success. The costs of the wrong hire – not just financial but mental and emotional […]

Sr. Data Engineer Our Client's Data Engineering is the engine that powers its data-obsessed eCommerce enterprise. They move fast, iterating quickly on big business problems. They work smart, applying technology to unlock insights and provide outsized value to our customers. They swing big, knowing their customers won't benefit from micro optimizations. Leveraging the largest data set for products sold in their space, this team treats data as an asset and determines how to maximize its business value and extend competitive advantage. You will be instrumental in designing and delivering Data Warehouses, Data Lake, Self-Service Tooling, Real-time Streaming and Big Data Solutions for multiple functional areas using modern cloud technologies. You will have the chance to combine a deep knowledge of business and technical mastery to own and deliver the right solution for the right business problem. Most importantly, you will have the opportunity to move fast, adapt quickly, and leave a lasting mark through the new solutions you deliver! What You'll Do • Own the technical architecture, design, and implementation of big data platforms and self-service solutions • Collaborate with stakeholders and other engineering leaders to define and develop the data architecture roadmap. • Act as a subject matter expert to leadership for technical guidance around solution design and best practices. • Be a technical mentor to junior engineers and expose the team to new opportunities, while still being able to dependably deliver on ongoing goals. • Keep current on big data and data visualization technology trends, evaluate, work on proof-of-concepts and make merit-based recommendations on technologies Who You Are • An expert at SQL-based ETL development, and experienced with Python, Java, or equivalent scripting language. • Experienced developing in cloud platforms such as Google Cloud Platform (preferred), AWS, Azure, or Snowflake at scale. • Comfortable designing and implementing DW Architecture, OLAP technologies, and star/snowflake-schemas to enable self-service tooling. • Experience with real-time data streaming tools like Kafka, Kinesis, Apache Storm or any similar tools. • Experience with big data technologies like Hadoop, Spark, Cassandra, MongoDB or other open source big data tools. • Experience architecting data solutions utilizing Bl tools like Looker, Tableau, AtScale, PowerBI, or any similar tools. • Excellent communication and presentation skills, strong business acumen, critical thinking, and ability to work cross functionally through collaboration with engineering and business partners. Previous e-commerce experience is a plus. • 3+ years of Data Architecture experience working in partnership with large data sets (5+TB highly desired) • 2+ years of experience leading or mentoring technical teams. • Bachelor's or Masters in Computer Science, Computer Engineering, Statistics, or another quantitative discipline