Sr SW Engineer- Bigdata Testing

This position is ideal for an engineer who is passionate about solving challenging business problems and building applications that provide an excellent user experience. They will be an integral part of the Payment Products Development team focusing on the design and development of software solutions that leverage data to address business challenges. They will be extensively involved in handson activities including proof of concepts design documentation development and testing of new functionality. They should demonstrate adaptability and readiness to change tasks according to the teams requirements. 

Key Responsibilities 

• Design develop and implement Automation solutions utilizing industry standard tools available. 

• Work iteratively on the development of new products/solutions starting with quick POCs and converting ideas into real products. 

• Design and develop missioncritical systems ensuring high availability and performance. 

• Interact with both business and technical stakeholders to deliver highquality products and services that meet business requirements and expectations while applying the latest available tools and technology. 

• Develop code to ensure deliverables are on time within budget and maintain high code quality standards. 

• Demonstrate a passion for delivering zerodefect code and be responsible for ensuring the teams deliverables meet or exceed the prescribed defect Service Level Agreement (SLA). 

• Coordinate Continuous Integration activities other related tasks in addition to contributing to core product code. 

• Present technical solutions capabilities considerations and features in business terms and effectively communicate status issues and risks in a precise and timely manner. 

• Perform other tasks related to R&D data governance system infrastructure and other crossteam functions as needed. 

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications :

Basic Qualifications
2 years of relevant work experience and a Bachelors degree OR 5 years of relevant work experience

Preferred Qualifications

Bachelors Degree or an Advanced Degree (e.g. Masters) in Computer Science/Engineering Information Science or a related discipline.

4 or more years of work experience in building largescale applications using opensource technologies.

Proven experience in software development particularly in datacentric projects demonstrating adherence to standard development best practices.

Extensive experience with SQL and Big Data technologies such as Hadoop Spark and Hive for largescale data processing and data transformation.

Strong understanding and practical experience with data structures and algorithms with a passion for tackling complex problems.

Proficiency in Java programming.

Solid knowledge of Unix/Linux operating systems and Shell Scripting.

Proficiency in working with RDBMS SQL Inmemory Databases like Redis

Familiarity with version control systems specifically Git.

Awareness of and experience with software design patterns.

Experience working within an Agile and TestDriven Development environment.

Strong verbal and written communication skills with a proactive and selfmotivated approach to improving existing processes to enable faster iterations.

Demonstrated intellectual and analytical rigor with a keen attention to detail.

Teamoriented energetic and collaborative approach to work coupled with a diplomatic and adaptable style.

Passionate about learning and applying new technologies and delivering working solution

Good knowledge of Kafka data mock services are highly advantageous

Proficiency in Load Runner is a good to have

Familiarity with AI concepts and tools including GitHub Copilot for code development

Exposure to AI/ML development is an added advantage

Experience with data visualization and business intelligence tools like Tableau or other similar programs.

Strategic thinker with good business acumen to orient data engineering to the business needs of internal and external clients.

Previous exposure to financial services is a plus but not required.

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 :

Fulltime