وظائف فيزا العالمية بالقاهرة Visa
Data Engineer
Job Description
We are looking
for an individual contributor with deep expertise in building large-scale data
processing systems by using the latest database and data processing
technologies. This position plays a critical role in enabling the foundations
through which Data Scientists, Analysts, and BI Users drive solutions for our
Visa clients. The Data Engineer takes responsibility for building and running
data pipelines, designing local data frameworks, and catering for different data
presentation techniques in order to enable scalable Solution development for the
CEMEA region.
The Global Data Science team is the engine of analytics at Visa, this is a
high-performing team of data scientists, data analysts, statisticians, and
business analysts from a variety of countries – serving the Asia Pacific,
Central Europe, Middle East and Africa geographies.
As a Data Engineer you will be responsible for designing, developing and
delivering data solutions through best in class architected solutions to enable
the development of the Visa Portfolio Health Check. This is an individual
contributor role and currently has no line management responsibility.
Principal Responsibilities
Create and
maintain optimal data pipelines based on our Global Technology Stack
Contribute to the technical design, architecture and development of data
artifacts to support building new scalable solutions for our clients
Apply software engineering and CI/CD principles to our data pipeline design in
order to ensure modularity, scalability and governance across our solutions
Data validation and application of software testing techniques in a data-driven
context
Continuous improvement and maintenance of existing pipelines based on business
need and changes in our technology landscape
Integration of analytical solution output with downstream corporate systems to
facilitate delivery and consumption
Executing medium to large analytic projects along with rest of the stakeholders
in the Visa data science team and Client team
Leadership Competencies
Exhibits intellectual curiosity and a desire for continuous learning
Demonstrates integrity, maturity and a constructive approach to business
challenges
Role model for the organization and implementing core Visa Values
Respect for the Individuals at all levels in the workplace
Strive for Excellence and extraordinary results
Use sound insights and judgments to make informed decisions in line with
business strategy and needs
Leadership skills include an ability to allocate tasks and resources across
multiple lines of businesses and geographies. Leadership extends to ability to
influence senior management within and outside Analytics groups
Ability to successfully persuade/influence internal stakeholders for building
best-in-class solutions
Qualifications
Professional
Experience
• 5 - 8 years application development and support experience.
• Deep knowledge of distributed data architecture, parallel processing
frameworks, commonly-used BI tools, and job scheduling applications
• Experience creating production software/systems in Python and/or Scala, and a
proven track record of identifying and resolving performance bottlenecks for
production systems.
• Experience with complex, high volume, multi-dimensional data.
• Good understanding of the Payments and Banking Industry including aspects such
as consumer credit, consumer debit, prepaid, small business, commercial,
co-branded and merchant
• Demonstrated ability to incorporate new techniques to solve business problems
Technical Expertise
• Qualification
in Computer Science or Engineering ideal.
• Certification in Hadoop (Cloudera or Hortonworks) and Apache Spark ideal.
• Experience in developing production systems, with software engineering
governance practices in place e.g, Object orientation, functional programming,
unit testing frameworks, CI/CD and job scheduling technologies
• Data acquisition and provisioning through various modes and channels, e.g.,
Batch, real-time, event-driven architecture, APIs, etc.
• Working knowledge of Hadoop ecosystem and associated technologies, e.g.,
Hadoop, Hive, Apache Spark, Kubernetes, Kafka, etc.
• Advanced experience in writing and optimizing efficient SQL queries and
scripts, Scala experience is ideal
• Excellent communication skills in both spoken and written English (upper
intermediate plus)
Business Experience
• Results-oriented with strong problem solving skills and demonstrated
intellectual and analytical rigor
• Good business acumen with a track record in solving business problems through
data-driven methodologies.
• Team oriented, collaborative, diplomatic, and flexible style, with the ability
to tailor data driven results to various audience levels
• Very detailed oriented, is expected to ensure highest level of quality/rigor
in reports and data analysis
• Exhibits intellectual curiosity and a desire for continuous learning
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