Consultant, Data Engineer | Snowflake Data Engineer (Python / Snowpark)

Job Description Summary

Key Responsibilities

• Consults on complex data product projects by analyzing moderate to complex end-to-end data product requirements and existing business processes to lead 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 and exploration.
• Translates business data stories into a technical story breakdown structure and work estimate so value and fit can be assessed for a schedule or sprint.
• 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.
• Creates business user access methods to structured and unstructured data by using techniques such as mapping data to a common data model, NLP, transforming data as necessary to satisfy business rules, AI, statistical computations, and validation of data content.
• 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.
• Facilitates medium- to large-scale data engineering using cloud technologies – Azure and AWS (i.e. Redshift, S3, EC2, Data-pipeline and other big data technologies).
• Collaborates with the enterprise DevSecOps team and other internal organizations on CI/CD best practices experience and use of 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.
• Develops and maintains scalable data pipelines for both streaming and batch requirements and builds out new API integrations to support continuing increases in data volume and complexity.
• Writes and performs data unit/integration tests for data quality. With input from business requirements and stories, creates and executes test data and scripts to validate that quality and completeness criteria are satisfied. Creates automated testing programs and reusable test data for future code changes .
• Practices code management and integration with engineering Git principle and practice repositories.
• Participates as an expert, leader, and learner in team tasks for data analysis, architecture, application design, coding, and testing practices.
• Leads design decisions for complex data pipelines, integration patterns, and reusable engineering components within a product, platform, or domain.
• May perform other responsibilities as assigned.
• Reporting Relationships: Reports to Director or AVP Data Management 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 : Six to ten 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, verbal 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

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. To learn more about the benefits we offer, click here .
• Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic (or classification) protected by applicable law.

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