Associate Analytics Data Engineer

Job Posted 7 Days Ago Reposted 7 Days Ago
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Warsaw, Warszawa, Mazowieckie
Mid level
Fintech • Information Technology • Payments
Join a world leader in payments and technology!
The Role
The role involves designing, developing, and maintaining data engineering processes and tools, collaborating with stakeholders to implement analytic data solutions, and optimizing existing systems for improved performance.
Summary Generated by Built In

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

We are seeking a Data Engineer with a strong background in data engineering. This role involves managing system requirements, design, development, integration, quality assurance, implementation, and maintenance of corporate applications.

Ø Work with product owners, business stakeholders and internal teams to understand business requirements and desired business outcomes.

Ø Assist in scoping and designing analytic data assets, implementing modelled attributes and contributing to brainstorming sessions.

Ø Build and maintain a robust data engineering process to develop and implement self-serve data and tools for Visa’s product management teams and data scientists.

Ø Find opportunities to create, automate and scale repeatable analyses or build self-service tools for business users.

Ø Execute data engineering projects ranging from small to large either individually or as part of a project team.

Ø Set the benchmark in the team for good data engineering practices and assist leads and architects in solution design.

Ø Exhibit a passion for optimizing existing solutions and making incremental improvements.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualification
-Bachelors degree, OR 3+ years of relevant work experience
Preferred Qualification
-Minimum of 1 years’ experience in building data engineering pipelines.
-Design and coding skills with Big Data technologies like Hadoop, Spark, Hive
and Map reduce.
-Mastery in Pyspark or Scala.
-Expertise in any programming like Java or Python. Knowing OOP concepts like
inheritance, polymorphism and implementing Design Patterns in programming
is needed.
-Experience with cloud platforms like AWS, GCP, or Azure is good to have.
-Excellent problem-solving skills and ability to think critically.
-Experience with any one ETL tool like Informatica, SSIS, Pentaho or Azure Data
Factory.
-Knowledge of successful design, and development of data driven real time and
batch systems.
-Experience in data warehousing and an expert in any one of the RDBMS like
SQL Server, Oracle, etc.
-Nice to have reporting skills on PowerBI/Tableau/QlikView.
-Strong understanding of cloud architecture and service offerings including
compute, storage, databases, networking, AI, and ML.
-Passionate about delivering zero defect code that meets or exceeds the
proposed defect SLA and have high sense of accountability for quality and
timelines on deliverables.
-Experience developing as part of Agile/Scrum team is preferred and hands on
with Jira.
-Understanding basic CI/ CD functionality and Git concepts is must.

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Top Skills

AWS
Azure
Azure Data Factory
GCP
Git
Hadoop
Hive
Informatica
Java
Mapreduce
Oracle
Pentaho
Power BI
Pyspark
Python
Qlikview
Scala
Spark
SQL Server
Ssis
Tableau
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The Company
HQ: San Francisco, CA
26,500 Employees
On-site Workplace
Year Founded: 1958

What We Do

At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. As our products and technology have evolved with the world, Visa remains ubiquitous, reaching new customers in new and often invisible ways. We are at the center of this digital revolution with a network that connects people with over 80 million businesses all over the world. And Visa’s network is expanding, accelerating our growth. Our resilient business model, with its strong track record of success, will provide you with amazing opportunities to grow in your career, as well.

We are looking for people like YOU. Come join a people-centric company where you can invest in your career.

For more information, visit visa.com/about, visacorporate.tumblr.com and @VisaNews on Twitter.

Why Work With Us

Our employees are our company. Creating an inclusive and diverse workplace has been our key priority. With our purpose to “uplift everyone, everywhere” as our guide, we’re building an environment where diverse backgrounds and perspectives are celebrated and drive success inside our company and out in our communities.

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