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Fiserv

Data Engineer - Commerce Hub

Posted 7 Days Ago
Be an Early Applicant
In-Office
2 Locations
Mid level
In-Office
2 Locations
Mid level
The Data Engineer at Fiserv develops data pipelines and ETL processes, optimizes data workflows, and integrates data systems to ensure effective analytics and reporting.
The summary above was generated by AI

Calling all innovators – find your future at Fiserv.

We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Data Engineer - Commerce Hub

What does a successful Data Engineer do?
At Fiserv, a successful Data Engineer leverages their technical expertise to deliver data-driven solutions with exceptional quality and speed. You will support agile teams in the EMEA data analytics domain by designing and building cutting-edge data migration, integration, replication, and streaming systems. This role is critical in ensuring our Snowflake data warehouse and analytics solutions are robust and operationalized at scale.

What you will do:
- Develop ETL pipelines for data transformation and aggregation using Java/Scala/Python Spark jobs
- Write SQL queries against Snowflake for data manipulation and retrieval
- Provide production support for data warehouse issues, including data load problems and transformation translation errors
- Create unit tests for data transformations and aggregations
- Develop real-time or batch data integrations between systems with production-grade quality
- Process real-time data events from Kafka into the data warehouse using streaming techniques
- Design and build medium to high complexity data pipelines
- Translate BI and reporting requirements into database and reporting designs
- Understand data transformation and translation requirements and select appropriate tools
- Design and build medium to high complexity machine learning pipelines
- Execute continuous integration and test-driven development practices for rapid delivery of working code
- Deploy production-grade data pipelines, infrastructure, and data artifacts as code
- Develop estimates for data-driven solutions
- Communicate technical, product, and project information to stakeholders
- Establish standards of good practice, including coding standards and data governance
- Perform peer code reviews

What you will need to have:
- Strong background in creating Snowpipe, and complex data transformations using Snow SQL
- Hands-on experience with Snowflake external tables, staging, scheduler, and performance tuning
- Knowledge of Snowflake time travel concepts, zero-copy cloning, network policies, clustering, and tasks
- Deep understanding of Spark, Kafka, and data warehouses such as Snowflake, Hive, Redshift
- Experience in development, deployment, and operation of data technologies and platforms including ETL and microservices
- Proficiency with low latency/streaming data processing, batch processing, and micro batch processing
- Expertise in SQL and operating systems, particularly Linux

What would be great to have:

- Migration experience to Snowflake
- Experience with Oracle RDBMS
- Exposure to ETL tools like Streamsets or DBT.

#LI-1IB

Thank you for considering employment with Fiserv.  Please:

  • Apply using your legal name
  • Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Diversity and Inclusion:

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. 

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.

Top Skills

Dbt
ETL
Java
Kafka
Linux
Python
Scala
Snowflake
Spark
SQL
Streamsets

Fiserv Dublin, Dublin, IRL Office

10 Hanover Quay, Dublin, Ireland, D02 K510

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