Fiserv

2 days ago

Technical Risk Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Design and maintain production-grade batch and streaming data pipelines that move data from source systems through ingestion, transformation, and storage for analytics, risk, and machine-learning workloads. Build cloud-native solutions using Azure services, Databricks (Spark), Snowflake, and Kafka, with strong focus on ETL/ELT, data quality monitoring, performance, and reliability. Partner with analytics, fraud, DevOps, and software teams to troubleshoot and deliver dependable data flows.

Location: Sunnyvale

Workplace: Onsite

Employment Type: Full time

Job Function: Legal, Risk & Compliance

Seniority: Mid level

Key Responsibilities

•Design, build, and maintain batch and streaming data pipelines using Azure data services, Databricks (Spark), Snowflake, and Kafka.
•Develop end-to-end data flows from source systems through ingestion, transformation, and storage layers.
•Implement scalable ETL/ELT processes supporting analytics, reporting, and machine learning use cases.
•Build cloud-native data solutions using patterns like data lakes, lakehouse, and data warehouses, optimizing performance, cost, and reliability.
•Implement data validation, monitoring, and alerting; troubleshoot production pipeline failures and partner with downstream consumers to resolve data issues.

Pay and Benefits

Salary: 104,000 - 160,800

Key Requirements

•2+ years of experience in data engineering, data management, or a related role.
•Hands-on experience building data pipelines using SQL and Python.
•Experience working with cloud data platforms (Azure preferred).
•Familiarity with Databricks / Apache Spark and data warehouses such as Snowflake.
•Basic exposure to Kafka or streaming data pipelines and strong understanding of ETL/ELT concepts, data modeling, and data lifecycle management.

Experience:2+ yearsFintechPayments

Education:Bachelor's

Skills:CollaborationDocumentationTroubleshooting

Tech Stack:AzureDatabricksApache SparkSnowflakeKafkaETLELTSQLPythonGitAzure DevOpsParquet

Company Brief

Fiserv

Provides payments, processing services, risk management, and core banking technology to financial institutions, merchants, and businesses worldwide, enabling digital payments, account processing, and financial services integration.

Industry: Fintech Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Brookfield, United States

Founded: 1984

Website LinkedIn

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Fiserv

2 days ago

Technical Risk Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Sunnyvale

Workplace: Onsite

Employment Type: Full time

Job Function: Legal, Risk & Compliance

Seniority: Mid level

Key Responsibilities

•Design, build, and maintain batch and streaming data pipelines using Azure data services, Databricks (Spark), Snowflake, and Kafka.
•Develop end-to-end data flows from source systems through ingestion, transformation, and storage layers.
•Implement scalable ETL/ELT processes supporting analytics, reporting, and machine learning use cases.
•Build cloud-native data solutions using patterns like data lakes, lakehouse, and data warehouses, optimizing performance, cost, and reliability.
•Implement data validation, monitoring, and alerting; troubleshoot production pipeline failures and partner with downstream consumers to resolve data issues.

Pay and Benefits

Salary: 104,000 - 160,800

Key Requirements

•2+ years of experience in data engineering, data management, or a related role.
•Hands-on experience building data pipelines using SQL and Python.
•Experience working with cloud data platforms (Azure preferred).
•Familiarity with Databricks / Apache Spark and data warehouses such as Snowflake.
•Basic exposure to Kafka or streaming data pipelines and strong understanding of ETL/ELT concepts, data modeling, and data lifecycle management.

Experience:2+ yearsFintechPayments

Education:Bachelor's

Skills:CollaborationDocumentationTroubleshooting

Tech Stack:AzureDatabricksApache SparkSnowflakeKafkaETLELTSQLPythonGitAzure DevOpsParquet

Company Brief

Fiserv

Industry: Fintech Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Brookfield, United States

Founded: 1984

Website LinkedIn