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The Ops Support Specialist 5 is an entry-level positionresponsible for providing operations support services, including but not limited to, process case creation and backup attachment, financial research. The overall objective of this role is to provide day-to-day operations support in alignment with Citi operations support infrastructure and processesResponsibilities:
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Test Automation Strategy: Develop and implement a comprehensive test automation strategy for data pipelines, data warehouses, and data-driven applications.
Test Case Design: Design, develop, and maintain automated test cases to validate data quality, data integrity, and data transformations.
Test Script Development: Write and maintain robust and reusable test scripts using Python and relevant testing frameworks.
Data Validation: Develop automated data validation techniques to compare data sets, identify discrepancies, and ensure data accuracy.
Performance Testing: Design and execute performance tests to assess the scalability and performance of data pipelines and data processing systems.
Big Data Technologies: Utilize Apache Spark and Python to develop test automation solutions for big data environments.
CI/CD Integration: Integrate automated tests into the CI/CD pipeline to enable continuous testing and faster feedback loops.
Collaboration: Work closely with data engineers, data experts, and software developers to understand testing requirements and ensure test coverage.
Defect Management: Identify, track, and manage defects using a bug tracking system.
Reporting: Generate test reports and metrics to communicate test results and identify areas for improvement.
Continuous Improvement: Stay up-to-date with the latest trends and technologies in data testing and test automation and recommend best practices.
Qualifications/Experience:
6+ years experience in an IT Quality role. Ability to work independently or within groups on projects assigned
Minimum of 10 years of experience in Data test automation.
Proven experience in testing data pipelines, data warehouses, and data-intensive applications.
Strong proficiency in Python programming language.
Hands-on experience with Apache Spark and Big Data Ecosystem.
Experience with Enterprise test automation frameworks
Experience with CI/CD tools such as Jenkins, GitLab CI, or similar.
Experience with SQL and data validation techniques.
Education: Bachelor's degree in Computer Science, Engineering, or a related field.
Skills:
Strong understanding of data testing methodologies and best practices.
Excellent analytical and problem-solving skills.
Ability to work independently and as part of a team.
Excellent communication and interpersonal skills.
Anticipated Posting Close Date:

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This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Required Skills (Essential)
• Programming skills – including concurrent, parallel and distributed systems programming
• Expert level knowledge of Java
• Expert level experience with HTTP, ReSTful web services and API design
• Messaging technologies (Kafka)
• Experience with Bigdata technologies Developer Hadoop , Apache Spark ,Python, PySpark
• Experience with Reactive Streams
Desirable Skills:
• Messaging technologies
• Familiarity with hadoop SQL interfaces like hive, spark sql, etc.
• Experience with Kubernetes
• Good understanding of the Linux OS
• Experience with Gradle, maven would be beneficial
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Full time
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echnical Skills (Must Have)
Technical Skills (Valuable)
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Responsibilities:
Qualifications:
Education:
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Other Relevant Skills
These jobs might be a good fit