Senior Data Engineer

Halo Group is a premier provider of IT talent. We place technology experts within the teams of the world’s leading companies to help them build innovative businesses that keep them one step closer to their customers and one step ahead of the competition. We offer a meaningful work environment for employees, attractive and interesting engagements for consultants, and cutting-edge digital innovation for our customers. We delight in helping our customers execute their digital vision. Big projects or small, Halo Group knows that by combining the highest quality talent with our unwavering support, we will become an invaluable extension of the team. Halo Group's experienced consultants in Detroit, Atlanta and Dallas specialize in all areas of product/project governance, UX/UI, multi-platform applications, quality assurance/testing, cloud computing, and data analytics. Since its inception, Halo Group has been recognized for numerous awards, including: INC 5000 Future 50 101 Best and Brightest Michigan 50 Companies to Watch Goldline Research - “Most Dependable Companies” Ernst & Young - “Entrepreneur of the Year” Finalist Job Description Description: Looking for a Senior Data Engineer to be part of our Engineering Team. As a Senior Data Engineer, you will be part of the core team that is responsible for empowering the company with data. The position will be working on our transactional, streaming, and analytics platform ensuring the tools and systems are designed for scale to help our engineers, product managers and analysts make better decisions and drive insights with data. The individual has a background in distributed applications, data streaming and NoSQL and SQL databases. Responsibilities: Select, build and configure solutions that use open source platforms and tools such as Kafka, Nifi, Hive, Map Reduce alongside NoSQL technologies to enable reliable, trustworthy, and approachable data and tune them for performance at scale. Help our analysts and engineers build and optimize data pipelines to understand our large and ever-growing user base and make better decisions. Implement data pipelines to automate the ingestion, transformation, and augmentation of both structured and unstructured data sources, and provide best practices for pipeline operations. Work with Business Analysts, Application Developers and Data Scientists to implement solutions using agile methodologies. Qualifications Skills & Qualifications 2+ years of experience in handling large datasets working with a messaging system such as Apache Kafka, Rabbit MQ, or other streaming processing tools with technologies like Spark Streaming or Flink, and NoSQL datastores. 5+ years of high availability, concurrent, large-scale distributed infrastructures 7+ years of strong programming expertise in Java, Python, SQL 3+ years working in a highly collaborative environment Expertise in leading cloud technologies like Amazon Web Services Ability to communicate technical concepts, possibilities, and limitations to a non-technical audience (product managers, designers) High attention to detail and constructive attitude in peer code reviews Bachelor’s in Computer Science, Computer Engineering or comparable experience Additional Information ** U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time. This is a Full-Time / Permanent job opportunity. Only for US Citizen and Green Card Holder, EAD Holders, GC EAD, Canadian Citizen ** All your information will be kept confidential according to EEO guidelines. Skills : Apache Kafka, Rabbit MQ, NoSQL datastores., Java, Python, SQL, Amazon Web Services #J-18808-Ljbffr