We are looking for candidates who are proficient in application development skills for more than one technology as well as multiple design techniques. Working proficiency in development toolset to design, develop, test, deploy, maintain and improve software. Strong understanding of Agile methodologies with ability to work in at least one of the common frameworks.

 

Job Description:

 

• Create and maintain optimal data pipeline architecture. 
• Assemble large, complex data sets that meet functional / non-functional business requirements. 
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading data from a wide variety of data sources using SQL and big data technologies. 
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. 
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. 
• Work with data and analytics experts to strive for greater functionality in our data systems. 

 

Must Have:

 

• • 2+ year experience in Docker, Containers with Kubernetes, Java, Spring Boot, Python, Jenkins, CICD.
  • Development and engineering: Docker & Cloud Containers with Kubernetes
  • Experience with Google Cloud Platform/AWS/Azure or other public cloud technologies is preferred.