Database Analysis Advisor II

Fiserv

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Milwaukee, WI
Posted
3 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $142k
$94k most similar roles pay here $180k

This listing doesn't post a salary. Most similar roles pay $117,000–$167,575.

Based on 240 similar postings.

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About Fiserv

Fiserv is a global leader in financial services technology, providing core banking platforms, payment processing, digital banking, and merchant acquiring solutions to financial institutions and businesses. Industry: Financial Technology & Payments

Fiserv currently has 106 open roles on FindRole.

Listed pay typically runs $123,750–$201,000 across 74 roles with salary data.

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At a glance

TL;DR · Database Analysis Advisor II

The Database Analysis - Advisor II role involves designing, developing, and maintaining StreamSets Control Hub pipelines to ingest data from multiple upstream systems into Snowflake. The successful candidate will build metadata-driven pipelines for Raw JSON ingestion, develop Python utilities to flatten nested structures, and create source-to-target mappings including data lineage and business rules. Key responsibilities include managing dbt models, orchestrating automated DAGs via Task Graphs, and implementing Groovy scripts for PCI data encryption or tokenization. The role requires proficiency in SQL, Snowflake objects, Streamlit applications, and Snowflake Cortex AI capabilities. Working within an Agile framework, the individual will ensure compliance with CI/CD standards, SonarQube gates, and audit requirements while managing JIRA stories. This position focuses on solving complex data movement, transformation, and security challenges within a regulated financial services environment.

What you'll do

  • Design, develop, and maintain StreamSets Control Hub pipelines to ingest and process data into Snowflake.
  • Build metadata-driven pipelines for Raw JSON ingestion and create Python utilities to parse nested structures.
  • Define transformation logic and create source-to-target mappings including data lineage and business rules.
  • Implement Snowflake objects and orchestrate automated DAGs using Task Graphs.
  • Manage dbt models, tests, incrementals, and snapshots using Snowflake-native deployment patterns.
  • Classify PCI data and apply encryption or tokenization using Groovy scripts.
  • Build Streamlit-based monitoring applications and leverage Snowflake Cortex AI capabilities.
  • Maintain documentation for audit readiness, regulatory compliance, and client deliverables.

What we're looking for

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

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