Nationwide is looking for a Data Engineer - ETL Developer to join the NF Data Warehouse team within Digital Back Office (DBO) to deliver data solutions and manage data integration across various Nationwide Financial products.
Requirements
- Proficient in SQL.
- Expertise in Snowflake is essential, familiarity with Oracle and SQL Server.
- Strong experience in ETL/ELT processes (Informatica/Talend).
- Solid understanding of data warehousing, data models, queries and batch processing.
- Experience working in Lean, Agile, DevOps, and Cloud hosting environments.
- Moderate to advanced skills with modern programming and scripting languages (e.g., SQL, R, Python, Spark, UNIX Shell scripting, Perl, or Ruby).
- Preferred experience in financial data management.
Responsibilities
- Provides basic to moderate technical consultation on data product projects by analyzing end to end data product requirements and existing business processes to lead in the design, development and implementation of data products.
- Produces 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
- Applies secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities.
- Translates business data stories into a technical story breakdown structure and work estimate so value and fit for a schedule or sprint is determined.
- Creates simple to moderate business user access methods to structured and unstructured data by such 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.
- Assists the enterprise DevSecOps team and other internal organizations on CI/CD best practices experience using JIRA, Jenkins, Confluence etc.
- 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.
Other
- Undergraduate studies in computer science, management information systems, business, statistics, math, a related field or comparable experience and education strongly preferred.
- Three to five years of relevant experience with data quality rules, data management organization/standards, practices and software development.
- Excellent collaboration and communication skills.
- Regularly and consistently demonstrates the Nationwide Values.
- Ability to work in a normal office environment.
