Job Description:
What is the specific title of the position? Sr Mgr Data Engineering
Please provide a summary of the project/initiative that this candidate will be working on?
Provider Master Data Management is currently built on Vendor product which include Provider identity, Provider relationship and Provider affiliation. This program is going through modernization where it will be built with Event driven Microservice architecture with latest tech stack like Graph, Spring boot & Java, NoSQL and Elasticsearch Databases etc.
Please describe the team the candidate will be working with – how many members? 5-7
What is the break-down of the teams skill sets (ex: 1 PM 4 Developers etc.)? 1 PM 5 Developer 3 Data Analyst
What are the top 5-10 responsibilities for this position (please be detailed as to what the candidate is expected to do or complete on a daily basis)?
o Working with Business to understand requirement, design, architecture and development
o Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
o Develop & design Create and maintain optimal data pipeline architecture
o Working NoSQL Databases & In-Memory databases like Redis, Messaging systems like Kafka design, tuning, Architecture and solution development
o Cloud environment (AWS Preferred) , Serverless deployment and architectures
o Automation, Deployment, Code and Release management
What does the ideal candidate background look like (ex: healthcare specific background specific industry experience etc.)? Healthcare Background is plus
What skills/attributes are required (please be detailed as to number of years of experience for each skill)?
o 8 + years of handling large data intensive Application Solution building
o 3 + years or 2-3 Project experience in building cloud native Big Data Solutions
o 3+ years of AWS or Azure or Google Cloud Platform Data Management Solutions
o Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies.
o Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
o Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
o Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
o Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
What skills/attributes are preferred (what will set a candidate apart)? Graph Technology, Spark, Python, Big Data Handling, AWS Data Management
What will the interview process look like? (Video phone or in person? – Video
How many rounds? 2
How technical will the interviews be?) Video
Of the required skills listed, which would you consider the top 3?
– Full stack Engineer ( 1. 8+ years of Java based application archicture, design and handson development 2. 4+ years of Kafka & Elastic Search application architecture, Design & Development 3. 4+ years of Kubernetes & cloud native microservice based solution developer)
2Are you open to candidates that cannot convert to FTE without sponsorship? – Yes
EEO Employer
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