Associate Data Engineer (Operations) at Visa

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

05 May, 26

Salary

0.0

Posted On

04 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipeline Development, Apache Airflow, Hadoop Ecosystem, PySpark, Python, Shell Scripting, Problem-Solving, SQL, GenAI Solutions, Cloud Services, Data Visualization Tools

Industry

IT Services and IT Consulting

Description

Company Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world. Progress starts with you. Job Description Data Engineer Associate role for Asia Pacific Region is based out of Bangalore. We are looking for an Data Engineer (Associate level), who will be responsible for data pipeline development, optimization, deployment and operational support as required for client deliveries across AP markets. This is a Pan-regional position and plays a critical role in enabling the data solutions through which Data Scientists, Analysts, and BI Users drive solutions for our Visa clients. He/she will bring in deep expertise in data pipeline design and development with a strong background in deploying and operationalizing data Pipelines at scale to unlock business value. Responsibilities: Data Pipeline build, optimization and Support: Support build, deployment and operationalization of data engineering pipelines, ensuring efficiency, reliably, and timeliness. Deployment and Scaling: Manage the deployment and scaling of data pipelines using configuration-driven and parameterized Airflow DAGs. Productivity improvement: Think out of the box to improve operational efficiency using AI /log analytics/automated failure recovery. Troubleshooting and Resolution: Proactively identify, investigate, and resolve complex issues and errors within the data pipelines, minimizing downtime and ensuring data integrity. Performance Monitoring: Monitor performance of data pipelines, identify bottlenecks, and collaborate with engineering teams to implement optimizations. Documentation: Maintain comprehensive documentation for operational procedures, troubleshooting guides, and pipeline configurations. Standardization: Contribute to the development of internal frameworks, templates, and accelerators for data engineering and data science consulting. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications We are looking for a motivated, analytical-minded individual with a track record of using data and analytics to unlock business value. The candidate should have accumulated good industry work experience, in designing, deploying and maintaining /supporting complex big data pipelines. Required Skills & Experience (Must Have): 3+ years’ experience plus a bachelor’s degree in computer science, information science, mathematics, or similar/related streams. Graduate master’s degree is a plus. Skill Level: Hands on experience in a data engineering and data operations role. Apache Airflow: Proven proficiency in deploying, running, and troubleshooting complex, parameterized, and configuration-driven Airflow DAGs. Comprehensive knowledge of Airflow native Operators. Hadoop Ecosystem: Strong understanding of Hadoop architecture and its core components, including HDFS, YARN, and MapReduce. PySpark : Demonstrable experience in writing, optimizing, and supporting PySpark/ Scala jobs for large-scale data processing. Programming: Proficient in Python for data manipulation and automation, along with strong skills in Shell scripting. Problem-Solving: Excellent analytical and troubleshooting skills with the ability to diagnose and resolve technical issues independently. Database Knowledge: Solid understanding of SQL and experience working with various database systems. Familiar/Skilled in identifying and implementing GenAI solutions is desirable. Self-motivated, results oriented individual with ability to handle multiple projects concurrently. Good to Have: Knowledge of Cloud Services such as AWS/Azure. Understanding GenAI Tools. Understanding of Data Visualization Tools like Tableau / Power BI. 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. Job Family Group: Technology and Operations

Responsibilities

The Associate Data Engineer will be responsible for building, optimizing, deploying, and supporting data engineering pipelines. This role is critical for enabling data solutions for Data Scientists, Analysts, and BI Users across the Asia Pacific region.