SW Test Engineer at Visa

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

09 Jun, 26

Salary

0.0

Posted On

11 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

PySpark, PyTest, Python, SQL, Hive, Data Quality Checks, Data Validation Frameworks, CI/CD Workflows, Data Anomalies Analysis, Monitoring, Alerting Solutions, ETL Processes, Big Data, Data Lineage, Metadata Management

Industry

IT Services and IT Consulting

Description

Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Responsibilities: Design, develop, and maintain automated data quality checks for complex data pipelines handling petabyte scale datasets. Implement scalable data validation frameworks using PySpark, PyTest , Python, SQL, and Hive, ensuring comprehensive test coverage. Collaborate with Data Engineers and DevOps teams to integrate automated tests into CI CD workflows. Analyze test results, identify data anomalies, and provide actionable insights to resolve data quality issues. Develop monitoring and alerting solutions for data quality in production environments. Document test processes, standards, and best practices mentor junior engineers on data quality automation. Continuously improve test frameworks and processes to optimize performance, scalability, and reliability. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: Bachelors or Master's degree in Computer Science, Engineering, or related field. 1+ years of experience in test engineering or data engineering roles, with a focus on data quality and automation. Bachelors or Master's degree in Computer Science, Engineering, or related field. 1+ years of experience in test engineering or data engineering roles, with a focus on data quality and automation. Advanced proficiency in PySpark and Python for building scalable data processing and testing solutions. Strong experience with SQL and Hive for querying, validating, and profiling data in large datasets. Hands on exposure to Hive and HDFS. Solid understanding of data pipeline architectures, ETL processes, and best practices for big data environments. Experience implementing CI CD pipelines for automated data testing. Strong analytical, problem solving, and communication skills. Ability to work independently and in a collaborative, fast paced team environment. Preferred Qualifications: Experience with data quality frameworks (e.g. Deequ, Great Expectations). Familiarity with workflow orchestration tools (e.g. Airflow, Step Functions). Exposure to data cataloging, data lineage, and metadata management 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 role involves designing, developing, and maintaining automated data quality checks for large-scale data pipelines, implementing scalable data validation frameworks using tools like PySpark and Python. Responsibilities also include integrating tests into CI/CD workflows, analyzing test results for anomalies, and developing production monitoring and alerting solutions.