What does a great Advisory Big Data Architect?
As an Advisory Big Data Architect, you will be a part Fiserv Card Services critical player in Fiserv's card services business unit. As the technical leader within the Data team, you will take ownership of the data lake architecture for processing and analyzing data across card services' products and applications. You will participate and influence technical design discussions collaborating with the application engineering teams to ensure robust and scalable integration across card services products and systems. You will also serve as a mentor to junior developers ensuring good engineering discipline and best practices are followed across data team. The ideal candidate must have experience with Apache Spark for large-scale data processing, passion for the data domain, a strong background in data engineering, having designed and implemented data pipelines and models that handle complex large-scale data processing and analytics use cases.
Develop, document and implement best practices for reusable Big Data solutions
Working experience with tools like Hive, Spark, HBase, Sqoop, Impala, Kafka, Flume, Oozie, MapReduce, Kudu etc.
A deep understanding of the Hadoop ecosystem and strong conceptual knowledge in Hadoop architecture components
Experience in end-to-end design and build process of Near-Real Time and Batch Data Pipelines and presentation solutions
Hands on programming experience in one of or similar applications, Java, Scala, Python, or Shell Scripting, etc.
Strong analytical mind to help take on complicated problems
Desire to resolve issues and dive into potential issues
Self-starter who works with minimal supervision and the ability to work in a team of diverse skill sets
Experience working in Agile development process and deep understanding of various phases of the Software Development Life Cycle
Experience working with Hadoop/Big Data related field
Experience using Source Code and Version Control systems like Git, etc.
Strong experience with SQL and Data modeling
Basic Qualifications for Consideration
Preferred Qualifications for Consideration:
2+ years of experience working with Kafka streaming technology.
Understanding of relational database structures, research methods, and statistical models.
Understanding of Agile teams to build out a platform to show tangible results.
Experience with statistical packages is a plus (i.e. SPSSS, SAS, R, Matlab).
Experience with the AWS/Azure ecosystem is a plus.
Bachelors or Masters in Computer Science, Statistics, or any other related field (preferred)
Knowledge of Debit and Credit Systems such as HP Non Stop and Vision Plus.
Who We Are: With more than 1,200 associates in nine primary locations, Fiserv Card Services authorizes and settles point-of-sale (POS) and ATM transactions, monitors and drives ATMs, provides nationwide switching of debit, credit, prepaid and ATM transactions, and owns the Accel Network. We provide clients with proven solutions to maximize profit, reduce cost, and mitigate risk.
Card Services by the Numbers:
1+ billion debit, credit, and ATM transactions processed
28,000 ATMs managed
50+ million accounts managed
Our debit network is accessible at 3.6 million point-of-sale locations and 535,000 ATMs
Handled $1+ million in commerce in our busiest minute this year
Fiserv is an Equal Opportunity Employer/Disability/Vet.