Data Engineering - VCA Data Engineering
- Bengaluru, Karnataka, India
As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.
At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.
You're an Individual. We're the team for you. Together, let's transform the way the world pays.
To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for data engineers who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems. This position will be part of Data Engineering and Technology function in building and maintaining global data assets and issuer solutions. We are looking expertise in data warehousing and building large-scale data processing systems by using the latest database technologies. The Data Engineer takes responsibility for building and running data pipelines, designing our local data warehouse and data frameworks, and catering for different data presentation techniques. The position is based at Visa's offices in Bangalore, India.
Implementation of applications utilizing Big Data infrastructure and services under the supervision/collaboration of senior data engineer.
Quality control of data assets pipeline and data service development.
Execute and manage large scale ETL processes to support development and publishing of reports, Datamart’s and predictive models.
Build and develop ETL pipelines in Spark, Python, HIVE or SAS that process transaction and account level data and standardize data fields across various data sources.
Collaborate with cross-functional teams across geographies to understand data flows and processes to enable design and creation of the best possible solutions to each engineering challenge.
Provide quality data solutions in a timely manner and be responsible for data governance and integrity while meeting objectives and maintaining SLAs.
Build self-service tools and utilities.
Flexible approach to analyzing technical issues and clearly communicating recommendations/solutions with stakeholders in an ever-changing environment.
4+ yrs. work experience with a Bachelor’s Degree or 2+ years of work experience with a Master's or Advanced Degree in an analytical field such as computer science, statistics, finance, economics or relevant area.
Business skills and general qualities:
Ability to understand business requirements of the data science business.
Ability to translate data and technical concepts into requirements documents, business cases and user stories.
Good understanding of agile working practices and related program management skills.
Good communication and presentation skills with ability to interact with different cross-functional team members at varying levels
Ability to learn new tools and paradigms as data science continues to evolve at Visa and elsewhere.
Demonstrated intellectual and analytical rigor, team oriented, energetic, collaborative, diplomatic, and flexible style.
Intellectually curious and continuously striving to learn.
3+ years professional experience in building robust data pipelines and writing ETL/ELT code (Python, Hive, Spark, Shell Scripts)
3+ years of engineering background building API,UI and backend programming.
2+ years of experience working with scheduling tools (Airflow, Oozie)
2+ years of scripting experience
3+ years of hands-on experience working with large scale data ingestion, ETL processing, storage, Hadoop ecosystem, Spark
Experience in writing and optimizing SQL queries in Big data environment.
Experience working in Linux/Unix environment and exposure to command line utilities.
Experience creating/supporting production software/systems and a proven track record of identifying and resolving performance bottlenecks for production systems.
Preferred experience with Visualization Tools like Tableau, Power BI, D3 and exposure to code version control systems (git).
Exposure to machine learning models based on unstructured, structured, and streaming datasets.
Strong communication skills
Incumbent must make themselves available during core business hours.
This position requires incumbent to travel for work 0-5% of the time.
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, and reach with hands and arms.
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.