Job Details

ID #3693625
State Kentucky
City Louisville
Job type Contract
Salary USD TBD TBD
Source Infotree Service Inc
Showed 2020-04-05
Date 2020-04-03
Deadline 2020-06-02
Category Et cetera
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Senior Data Engineer

Kentucky, Louisville 00000 Louisville USA

Vacancy expired!

Job Description

Reach out to me on 734-400-0958 OR [emailprotected]W2 Candidates Only

Job Title: Data Engineer (Database Developer)Location: Louisville, KYDuration: 6 Months Contract

Job Description:

Senior Data Engineers at the Edge will help develop cloud native solutions, leveraging Google Cloud Platform APIs and Services and are able to code in languages and frameworks that fit into that ecosystem – Python, Golang, Node, .Net Core (C#), and Java. In addition, our cloud native automation infrastructure allows you to quickly deploy and iterate on your code.

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: At least one year of experience working on any major cloud provider Proven work experience as a Software Engineer and/or Database Developer Hands-on experience building production-grade data solutions (relational and NoSQL) Good knowledge in Data modelling including but not limited to table, constraints and relationships but also optimum store and fetch of the data 5+ years of Database Development experience in at least one of the following databases – PostgreSQL, MySQL, SQL Server, Oracle etc 1+ year of experience with at least one popular NoSQL data store - MongoDB, Firestore, DynamoDB, Cassandra etc Prior experience or ownership of the end-to-end data-engineering component of the solution Proven experience optimizing existing pipelines and maintain all domain-related data pipelines Analytical mind with problem-solving aptitude Strong communication skills with ability to interact with business and customer representatives Passion for growing your skills, tackling interesting work and challenging problems BA/BS in Computer Science or related field, or equivalent experience Experience working within an environment with a “startup” culture using agile, lean, DevOps, and DataOps delivery practices and methodologies.

Role Essentials: Have experience with TDD and writing solid test cases Experience working in large, high-quality codebases Have experience running and maintaining containers and using tools such as Docker, Kubernetes, or Mesos in Production Shipping pragmatic, sustainable code bases with speed 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 Experience leveraging modern technologies to increase velocity and decrease cost of solution delivery; including cloud technologies, microservices architecture, and streaming analytics Building collaborative relationships with team members, fostering a productive team environment, and coaching staff with timely meaningful feedback

Role Desirables: Cloud certification on any major cloud provider Experienced in designing, building, and testing complex scalable systems Have built or maintained a large-scale microservice infrastructure application or system with petabyte scale data stores Experience supporting live production infrastructure, can put out fires under pressure when things go wrong An appetite for data: analyzing metrics and designing A/B tests to help drive the company’s decisions

Additional Information

All your information will be kept confidential according to EEO guidelines.

Vacancy expired!

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