> Markdown version of [/jobs/ext/3005426-database-analysis-advisor-ii](https://www.wearedevelopers.com/jobs/ext/3005426-database-analysis-advisor-ii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Database Analysis - Advisor II

- **Company:** Fiserv, Inc.
- **Location:** Milwaukee, WI, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** JIRA, Big Data, Computer Engineering, Continuous Integration, Directed Acyclic Graph (Directed Graphs), Extract Transform Load (ETL), Data Transformation, Database Analysis, Groovy, JSON, Python (Programming Language), Release Management, Standard Sql, Management of Software Versions, Data Processing, Snowflake, Information Technology, Data Lineage, Software Version Control, Data Pipelines
- **Published:** September 19, 2026
- **Apply:** https://www.careerjet.com/job/usb69b2bfb3d155e0d45083fb80167d707/eaa

## About the Role

REQUIREMENTS: Bachelor's degree in Computer Science, Computer Engineering or a related field and 4 years in any job title involving database engineering experience. Prior experience must include 4 years in the following: Building and optimizing StreamSets pipelines for large-scale data ingestion; Working in Snowflake, including tables, views, streams, tasks, and Task Graph orchestration; Working with SQL and data transformation, including source-to-target mappings, lineage, and business rules; Working in Python and scripting; Working with CI/CD, version control, and release management; and Maintaining JIRA stories, working in sprint-based teams, and presenting technical demonstrations.

## Description

DUTIES: Design, develop, and maintain StreamSets Control Hub pipelines to ingest and process data from multiple upstream systems into Snowflake, ensuring scalable and consistent data movement across environments. Build metadata-driven pipelines for Raw JSON ingestion and develop Python utilities to parse and flatten nested structures. Analyze source file layouts to define transformation logic and create source-to-target mappings with data lineage and business rules. Design and implement Snowflake objects and orchestrate automated DAGs using Task Graphs in alignment with enterprise data architecture standards. Manage dbt models, tests, incrementals, and snapshots using Snowflake-native deployment patterns. Classify PCI data and apply Voltage encryption or tokenization using Groovy scripts while enforcing naming conventions and data types. Monitor, validate, and optimize pipelines for performance and scalability, including deployment, versioning, and rollback within enterprise release, Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact . Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.


## Related Videos

- [Give your build some love, it will give it back!](https://www.wearedevelopers.com/videos/514-give-your-build-some-love-it-will-give-it-back)
- [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json)
- [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray)
- [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering)
- [AI-Native Enterprise Platforms: Interpreting Logic, Not Compiling Code](https://www.wearedevelopers.com/videos/1975-ai-native-enterprise-platforms-interpreting-logic-not-compiling-code)
- [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)
- [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)