Job Description :
Requirement:
Job Title: Data Release Manager
Location: Appleton, WI
Duration: Long Term/ Full time with Miracle.
Qualifications:
Creation and maintaining of optimal data and model DataOps 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.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Create tool-chains for analytics and data scientist team members that assist them in building and optimizing the product according to industry best practices.
Work with data and BI experts to strive for greater functionality in our data and model life cycle management systems.
Support DataOps competence build-up in Thrivent Financial Businesses and Customer Serving Units
1 -2 years’ experience with Hadoop, Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
Working knowledge with Data and Model pipeline and workflow management tools.
Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and seek opportunities for improvement.
Experience building processes supporting data transformation, data structures, metadata, dependency and workload management.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Project management and interpersonal skills.
Experience supporting and working with cross-functional teams in a dynamic environment
Process oriented and understanding of Continuous Integration / Continuous Deployment strategies.