Job Description:

Our ideal Data Engineer is passionate about data, deploying solutions, workflow automation, and supporting AWS cloud services. You enjoy building data projects from the ground up and are equally comfortable working with business partners to understand requirements as you develop and deliver robust solutions that meet the highest standards. Learning new technologies and working in the cloud excite you. You are team-oriented and a strong communicator.You will have an impact through some of the below responsibilities:Maintain and support existing AWS services (EC2SubnetsLambdaAMIFirewallsIAM).Design, build, and maintain complex ETL jobs that deliver business value.Translate high-level business requirements into technical specs.Patching vulnerabilities in cloud services when gest data from disparate sources into various data stores. Cleanse and enrich data and apply adequate data quality controls.Provide insight and direction to guide the future development of our client's data platform.Develop reusable tools to help streamline the delivery of new projects.Collaborate closely with other developers and provide mentorship.Evaluate and recommend tools, technologies, processes, and reference architectures.Deploy reusable workflow & orchestration.Work in an Agile development environment, attending daily stand-up meetings and delivering incremental improvements.The Minimum QualificationsBachelor's degree in Computer Science, Finance, Business, or a related field.2+ years of experience in the finance industry.Understanding of ETL methodologies and proficiency in tools via Python.Hands-on experience developing with Python and advanced data processing using Python libraries & AWS services.Experience working in a cloud environment and administration (e.g., AWS).Experience with modeling and tuning relational databases (SQL ServerPostgreSQL) and NOSQL databases (Mongo).Experience with GIT and code reviewdeployment & scheduling part of operations.Experience in AgileSCRUM specifically with StoryAcceptance criteria development.The Ideal QualificationsMaster's degree in computer science, engineering, or a related field.4+ Years of experience in the IT andor quantitative, investment, or finance industry.Experience with troubleshooting and root cause analysis to determine and remediate potential issues.Good knowledge of orchestration and scheduling tools.Experience with data reporting (e.g., Microstrategy, Tableau, Looker) or via Python libraries.Entrepreneurial mindset with the ability to work in a rapid and iterative development environment.Experience delivering mobile apps and app store ecosystems.Extremely organized, detail-oriented individual capable of self-managing and multi-tasking in a fast-paced, demanding environment.Excellent communication, problem-solving, organizational, and analytical skills.Excellent written and verbal communication skills, including the ability to effectively present complex information clearly and appropriately handle sensitive information.A data-driven mindset and the ability to use quantitative tools and analyze unstructured feedback to inform the development of solutions.