DATA ENGINEER

Job Title:

Data Engineer Location:

Chicago, IL-Local candidate Demonstrated technology and personal leadership experience in architecting, designing and building highly scalable data applications. Enterprise scale expertise in data management best practices such as data integration, data security, data warehousing, data analytics, metadata management and data quality. Extensive knowledge and experience in architecting modern data integration frameworks, highly scalable distributed systems using open source and emerging data architecture designs/patterns. Experience building external cloud (e.g. AWS) data applications and capabilities is highly desirable. Expert ability to evaluate, prototype and recommend open source and vendor technologies and platforms. Collaborate with teams and leadership within IT and with business partners to advance our technical capabilities and provide data solutions that drive business results Qualifications 6-8 years of Experience defining technology standards for an organization Experience with architecture frameworks, including design patterns, distributed applications, AWS Well-Architected Framework, etc, with the aim of reuse Experience with BigData platform AWS EMR Experience with AWS services like EC2, S3, RDS, EKS, Lambda, API Gateway, Route 53, VPC, IAM, etc Experience with programming technologies, including Java, Python, Kafka, Spark Experience with Data technologies, including SQL, NoSQL, BigData, R, and GraphQL Build cloud native data platforms and capabilities that enable data analytics, reporting, model developments and machine learning Manage and enhance cloud native data lakes and Data Warehouse platforms. Create Proof of Concepts (POCs) to illustrate how cutting-edge technologies can be incorporated and enhance Client''s technology offerings Provide technical guidance and educate team members and coworkers on development and operations

Key Skill Set:

Advocate and define cloud architecture vision from a strategic perspective, including internal and external platforms, tools, and systems Establish, maintain, and review architectural models with a focus on microservices in a cloud environment Provide leadership in adherence to processes (i.e., design walk through and approval processes, Platform / System documentation, change management, SDLC, etc.) Drive scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, and production deployment for cloud platform projects DevOps/Platform background (AWS, Cloud Formation, Terraform, Kubernetes, Linux/Bash, Docker, CI/CD)