- Consults on complex data product projects by analyzing moderate to complex end to end data product requirements and existing business processes to lead in the design, development and implementation of data products.
- Responsible for producing data building blocks, data models, and data flows for varying client demands such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research & exploration.
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- Responsible for applying secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities.
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- Builds data cleansing, imputation, and common data meaning and standardization routines from source systems by understanding business and source system data practices and by using data profiling and source data change monitoring, extraction, ingestion and curation data flows.
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- Collaborates with enterprise DevSecOps team and other internal organizations on CI/CD best practices experience using JIRA, Jenkins, Confluence etc.
- Implements production processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
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- Practices code management and integration with engineering Git principle and practice repositories.
- Participates as an expert and learner in team tasks for data analysis, architecture, application design, coding, and testing practices.
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Consultant, Data Engineer - Remote, United States - Nationwide Private Client
Description
If you're passionate about innovation and love working in an environment where you can constantly improve and adopt new technologies to drive business results, then Nationwide's Information Technology team could be the place for you At Nationwide, "on your side" goes beyond just words. Our customers are at the center of everything we do and we're looking for associates who are passionate about delivering extraordinary care.Are you looking to solve the most interesting problems at the cross-roads of Data Engineering and Cyber Security?
Did you read Designing Data-Intensive Applications, took it as a challenge, and are now looking for the perfect opportunity to put its concepts into place as a transformational effort?
Nationwide Security & Infrastructure is looking for a Data Engineer to mature our data pipeline.
Lifelong Learner
Passionate about Technology
Able to learn on the fly and fill knowledge gaps on demand
Ability to code while teaching others
Enjoys pair and mob programming
Derives joy from tackling complex problems and working through solution tradeoffs
Able to debug problems to their root cause, especially when the path leads through multiple systems or environments
Interest in working with data at the protocol and byte level
Experience and interest in Unix environments
Must be comfortable with APIs
Experience in the following languages – Python, Java, and SQL
And interest in gaining experience in the others
Experience with AWS Resources
Managing and maintaining service configurations
Practice with IAM Roles, Code Build / Code Pipeline ,SQS , S3 policies and permissions
Experience with Kubernetes
Creating Deployments / Cronjobs on Kubernetes
Managing Secrets / Config Maps
Creating Services and Ingresses
Troubleshooting container failures
Familiarity with medallion architecture concepts in relation to data modeling
Desire to work with streaming datasets at scale
Desired experience in: Spark, DataBricks, Cribl, Kafka, Kinesis
Interested in security, but formal experience not required
This role is part of a mature, supportive team that is constantly evolving to meet the needs of the organization. Candidates should be comfortable with ambiguity and rapidly changing directives. Candidates should possess strong relationship building skills and be able to demonstrate strong delivery through partnerships.
Compensation grade G5
Job Description Summary
Nationwide's industry leading workforce is passionate about creating data solutions that are secure, reliable and efficient in support of our mission to provide extraordinary care. Nationwide embraces an agile work environment and collaborative culture through the understanding of business processes, relationship entities and requirements using data analysis, quality, visualization, governance, engineering, robotic process automation, and machine learning to produce targeted data solutions. If you have the drive and desire to be part of a future forward data enabled culture, we want to hear from you.As a Data Engineer you'll be responsible for acquiring, curating, and publishing data for analytical or operational uses. Data should be in a ready-to-use form that creates a single version of the truth across all data consumers, including business users, data scientists, and Technology. Ready-to-use data can be for both real time and batch data processes and may include unstructured data. Successful data engineers have the skills typically required for the full lifecycle software engineering development from translating requirements into design, development, testing, deployment, and production maintenance tasks. You'll have the opportunity to work with various technologies from big data, relational and SQL databases, unstructured data technology, and programming languages.
Job Description
Key Responsibilities:
May perform other responsibilities as assigned.
Reporting Relationships: Reports to Director or AVP Data Leader.
Typical Skills and Experiences:
Education : Undergraduate studies in computer science, management information systems, business, statistics, math, a related field or comparable experience and education strongly preferred. Graduate studies in business, statistics, math, computer science or a related field are a plus.
License/Certification/Designation: Certifications are not required but encouraged.
Experience : Five to eight years of relevant experience with data quality rules, data management organization/standards and practices. Solid experience with software development on large and/or concurrent projects. Experience in data warehousing, statistical analysis, data models, and queries. One to three years' experience with developing compelling stories and distinctive visualizations. Insurance/financial services industry knowledge a plus.
Knowledge, Abilities and Skills : Data application and practices knowledge. Advanced skills with modern programming and scripting languages (e.g., SQL, R, Python, Spark, UNIX Shell scripting, Perl, or Ruby). Strong problem solving, oral and written communication skills. Ability to influence, build relationships, negotiate and present to senior leaders.
Other criteria, including leadership skills, competencies and experiences may take precedence.
Staffing exceptions to the above must be approved by the hiring manager's leader and HR Business Partner.
Values: Regularly and consistently demonstrates the Nationwide Values.
Job Conditions:
Overtime Eligibility : Exempt (Not Eligible)
Working Conditions : Normal office environment.
ADA : The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.
We currently anticipate accepting applications until 06/05/2024. However, we encourage early submissions, as the posting may close sooner if a strong candidate slate is identified before the deadline.Benefits
We have an array of benefits to fit your needs, including: medical/dental/vision, life insurance, short and long term disability coverage, paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date, nine paid holidays, 8 hours of Lifetime paid time off, 8 hours of Unity Day paid time off, 401(k) with company match, company-paid pension plan, business casual attire, and more.
