Senior Data Engineer

Apex Systems
Apex Systems

Job Overview

Senior Data Engineer Apex Systems, the nation’s 2 nd largest IT Workforce Solutions organization, has an immediate and exciting opportunity for a Senior Data Engineer with a large client in the Louisville, KY area. If you’d like to receive Job Alerts from Apex that match your specific criteria, visit . To apply, please send your resume to Kelsey O’Bryan – We believe that both a high-quality team and high-quality code are critical pieces of our mission. You will be responsible to bring our engaging customer facing experience and features to life with APIs and data that power it. You will work collaboratively with architects and other engineers to recommend, prototype, build and debug data infrastructures on Google Cloud Platform (GCP). You will design data models, build APIs, devise the data pipelines and figure out the scaling strategy for our data stores. Working closely with our product and interoperability team, you will focus on building data stores, APIs and microservices from the ground up that help power the rich and intuitive user experience following an agile work environment governed through SAFe. Furthermore, you will work with our analytics team to build an analytics ecosystem to build analytics stores, data pipelines and integrations to support our deep analytics models and generate a feedback loop to provide valuable insights. Required Qualifications bull At least one year of experience working on any major cloud provider bull Proven work experience as a Software Engineer andor Database Developer bull Hands-on experience building production-grade data solutions (relational and NoSQL) bull Good knowledge in Data modelling including but not limited to table, constraints and relationships but also optimum store and fetch of the data bull 5+ years of Database Development experience in at least one of the following databases – PostgreSQL, MySQL, SQL Server, Oracle etc bull 1+ year of experience with at least one popular NoSQL data store – MongoDB, Firestore, DynamoDB, Cassandra etc bull Prior experience or ownership of the end-to-end data-engineering component of the solution bull Proven experience optimizing existing pipelines and maintain all domain-related data pipelines bull Analytical mind with problem-solving aptitude bull Strong communication skills with ability to interact with business and customer representatives bull Passion for growing your skills, tackling interesting work and challenging problems bull BABS in Computer Science or related field, or equivalent experience bull Experience working within an environment with a “startup” culture using agile, lean, DevOps, and DataOps delivery practices and methodologies. Role Essentials bull Have experience with TDD and writing solid test cases bull Experience working in large, high-quality codebases bull Have experience running and maintaining containers and using tools such as Docker, Kubernetes, or Mesos in Production bull Shipping pragmatic, sustainable code bases with speed bull Good understanding of public cloud computing architectures and services. Experienced in the use of cloud native technologies, cloud cybersecurity, and implementation patterns to lower costs, improve speed to market, increase efficiency, and enable innovation bull Experience leveraging modern technologies to increase velocity and decrease cost of solution delivery including cloud technologies, microservices architecture, and streaming analytics bull Building collaborative relationships with team members, fostering a productive team environment, and coaching staff with timely meaningful feedback Role Desirables bull Cloud certification on any major cloud provider bull Experienced in designing, building, and testing complex scalable systems bull Have built or maintained a large-scale microservice infrastructure application or system with petabyte scale data stores bull Experience supporting live production infrastructure, can put out fires under pressure when things go wrong bull An appetite for data analyzing metrics and designing AB tests to help drive the company’s decisions EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at orSenior Data Engineer 1

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