Data Engineer - New College Grad
Data Engineer - New College Grad
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Job Description
As an emerging professional Data Engineer you will become a valuable contributor to one of Visas dynamic technology teams. Visa is committed to fostering growth and development and we encourage you to find a role that aligns with both your personal passions and professional aspirations. You will have the opportunity to take on new responsibilities acquire new skills and explore different parts of our business.
As the new hire you will be responsible for creating and optimizing data pipeline architecture assembling large complex data sets that meet business requirements and identifying designing and implementing process improvements such as automating manual processes optimizing data delivery and redesigning infrastructure for greater scalability. In the context of Visa you will be part of our team of software developers data architects data analysts and data scientists. You will ensure optimal data flow and collection for these crossfunctional teams and maintain data delivery architecture consistent throughout ongoing projects.
As the Data Engineer you are selfdirected and comfortable supporting the needs of multiple teams systems and products through a wide variety of data sources using Big Data and Cloud technologies. You are excited by the prospect of optimizing or redesigning our companys data architecture to support our next generation of products and data initiatives.
Responsibilities:
- Design and deploy new applications directly in the Big Data and Cloud platform.
- Identify the best practices for Big Data and Cloud service management & promote these across teams.
- Migrate onpremises corporate applications and related data to the Big Data and the Cloud.
- Build analytics tools that utilize the data pipeline to provide actionable insights into clients critical business performance metrics using Big Data and Cloud service technologies.
- Research implement and maintain Big Data and Cloud services to support applications.
- Create data tools for business team members that assist them in building and optimizing Visas products into innovative industry leaders.
- Monitor data application performance for potential bottlenecks and resolve performance issues.
- Identify and implement costsaving strategies to reduce ongoing Big Data and Cloud costs/expenses.
- Automate key services and tasks across Big Data and Cloud systems to increase efficiency
- Formulating a recovery plan and executing the plan in the event of data pipeline downtime or failure
Qualifications :
Basic Qualifications
- Less than 2 years relevant work experience with either Bachelors or Masters degree in Computer Science Computer Engineering CIS/MIS Cybersecurity Business or a related field graduating January 2024 August 2025
- Strong communications skills specifically the absence of repeated grammatical or typographical errors clear and concise written and spoken communications and communications that demonstrate professional judgment.
Preferred Qualifications
- Experience with programming languages such as Python Java Scala C Rust Golang
- Basic knowledge of Distributed Systems and Data Structures
- Knowledge or experience with Big Data and the Cloud platform services: Apache Hadoop Apache Spark.
- Basic Knowledge in ETL Data Pipelines using Python Shell Scripts Apache Airflow and Apache Kafka; Building & Populating Data Warehouses and Querying with BI tools.
- Basic Knowledge in RDBMS fundamentals: Design & Creation of Databases Schemas Tables; DB Administration Security & working with MySQL & IBM Db2.
- Basic Knowledge in SQL query language database functions stored procs working with multiple tables joins & transactions.
- Basic Knowledge in NoSQL & Big Data concepts: MongoDB Cassandra
- Knowledge of best practices and IT operations in an alwaysup alwaysavailable service
- Experience with or knowledge of Agile Software Development methodologies
- The ability to take on challenges and address problems headon
- Strong ability to collaborate
- Highly driven resourceful and results oriented
- Good team player and excellent interpersonal skills
- Good analytical and problemsolving skills
- Demonstrated ability to lead and navigate through ambiguity.
Additional Information :
U.S. APPLICANTS ONLY: The estimated salary for a new hire into this position is $105000 USD which may include potential sales incentive payments (if applicable). Salary may vary depending on jobrelated factors which may include knowledge skills experience and location. In addition this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical Dental Vision 401 (k) FSA/HSA Life Insurance Paid Time Off and Wellness Program.
Work Authorization: Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position. Future sponsorship will not be considered.
Work Hours: Varies upon the needs of the department.
This is a hybrid position: Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 23 set days a week (determined by leadership/site) with a general guidepost of being in the office 50% or more of the time based on business needs.
Travel Requirements: This position requires travel 510% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk communicate in person and by telephone frequently operate standard office equipment such as telephones and computers.
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.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law including the requirements of Article 49 of the San Francisco Police Code.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
