Data Scientist (Data & AI Engineer)
Data Scientist (Data & AI Engineer)
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Job Description
The Client Services BI & Analytics team strives to create an open trusting data culture where the cost of curiosity the number of steps amount of time and complexity of effort needed to use operational data to derive insights is as low as possible. We govern Client Services operational data and metrics create easily usable dashboards and data sources and analyze data to share insights.
We are a part of the Client Services Global Business Operations function and work with all levels of stakeholders from executive leaders sharing insights with the C-Suite to customer-facing colleagues who rely on our assets to incorporate data into their daily responsibilities.
This specialist role makes data available from new sources builds robust data models creates and optimizes data enrichment pipelines and provides engineering support to specific projects. You will partner with our Data Visualizers and Solution Designers to ensure that data needed by the business is available and accurate and to develop certified data sets. This technical lead and architect role is a force multiplier to our Visualizers Analysts and other data users across Client Services.
Responsibilities
Design develop and maintain scalable data pipelines and systems.
Monitor and troubleshoot data pipeline issues to ensure seamless data flow.
Establish data processes and automation based on business and technology requirements leveraging Visas supported data platforms and tools
Deliver small to large data engineering and Machine learning projects either individually or as part of a project team
Setup ML Ops pipelines to Productionalize ML models and setting up Gen AI pipelines
Collaborate with cross-functional teams to understand data requirements and ensure data quality with a focus on implementing data validation and data quality checks at various stages of the pipeline
Provide expertise in data warehousing ETL and data modeling to support data-driven decision making with a strong understanding of best practices in data pipeline design and performance optimization
Extract and manipulate large datasets using standard tools such as Hadoop (Hive) Spark Python (pandas NumPy) Presto and SQL
Develop data solutions using Agile principles
Provide ongoing production support
Communicate complex concepts in a clear and effective manner
Stay up to date with the latest data engineering trends and technologies to ensure the companys data infrastructure is always state-of-the-art with an understanding of best practices in cloud-based data engineering
This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice.
Qualifications :
Basic Qualifications
-2 or more years of work experience with a Bachelors Degree or an Advanced Degree (e.g. Masters MBA JD MD or PhD)
Preferred Qualifications
-3 or more years of work experience with a Bachelors Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters MBA JD MD)
-3 years of work experience with a bachelors degree in the STEM field.
-Strong experience with SQL Python Hadoop Spark Hive Airflow and MPP data bases
-5 years of analytics experience with a focus on data Engineering and AI
-Experience with both traditional data warehousing tools and techniques (such as SSIS ODI and on-prem SQL Server Oracle) as well as modern technologies (such as Hadoop Denodo Spark Airflow and Python) and a solid understanding of best practices in data engineering
-Advanced knowledge of SQL (e.g. understands subqueries self-joining tables stored procedures can read an execution plan SQL tuning etc.)
-Solid understanding of best practices in data warehousing ETL data modeling and data architecture.
-Experience with NoSQL databases (e.g. MongoDB Cassandra)
-Experience with cloud-based data warehousing and data pipeline management (AWS GCP Azure)
-Experience in Python Spark and exposure to scheduling tools like Tuber/Airflow is preferred.
-Able to create data dictionaries setup and monitor data validation alerts and execute periodic jobs to maintain data pipelines for completed projects
-Experience with visualization software (e.g. Tableau QlikView PowerBI) is a plus.
-A team player and collaborator able to work well with a diverse group of individuals in a matrixed environment
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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
