Overview
Position Overview
Job Title: QA Engineer
Location: Pune, India
Corporate Title: Assistant Vice President
Role Description
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy
Please visit our company website for further information:
https://www.db.com/company/company.htm
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.
Job Title: QA Engineer
Location: Pune, India
Corporate Title: Assistant Vice President
Role Description
- Technology serves as the foundation of our entire organization. Our Technology, Data, and Innovation (TDI) strategy aims to enhance engineering capabilities, implement an agile delivery framework, and modernize the bank's IT infrastructure.
- We are committed to investing in and developing a team of forward-thinking technology professionals, offering them the training, autonomy, and opportunities necessary to engage in groundbreaking work. As a QA lead Engineer, you will oversee the comprehensive delivery of engineering solutions to meet business objectives.
- You will have deep expertise in Hadoop ecosystem administration, scripting, and managing complex, large-scale migration projects. We are seeking a highly skilled Senior Test/QA Engineer to lead the quality assurance and testing efforts for a large-scale migration from Cloudera Distribution Hadoop (CDH) or Cloudera Data Platform (CDP) to Apache Hadoop.
- The ideal candidate will have extensive experience in end-to-end testing, automation, and developing comprehensive test suites for the Hadoop ecosystem.
- This role requires hands-on expertise in validating complex migrations, ensuring data integrity, performance, and system reliability while collaborating with cross-functional teams.
- You will have the opportunity to collaborate closely with clients while being part of a larger, creative, and innovative team dedicated to making a significant impact.
- In RiskFinder, you will join a local team, collaborating with other teams both in your area and in different geographical locations.
- You will have the chance to architect, design, and implement an open-source big data platform, enabling clients to produce, access, and analyze extensive datasets through our custom components and applications.
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy
- Best in class leave policy
- Gender neutral parental leaves
- 100% reimbursement under childcare assistance benefit (gender neutral)
- Sponsorship for Industry relevant certifications and education
- Employee Assistance Program for you and your family members
- Comprehensive Hospitalization Insurance for you and your dependents
- Accident and Term life Insurance
- Complementary Health screening for 35 yrs. and above
- Develop robust architectures and designs for big data platform and applications within the Apache Hadoop ecosystem
- Implement and deploy big data platform and solutions on-premises and in hybrid cloud environments.
- Develop and execute migration scripts, workflows and automation tools to streamline the transition process.
- Read, understand, and modify open-source code to implement bug fixes and perform upgrades.
- Security Architecture: Ensure all solutions adhere to security best practices and compliance requirements.
- Design, develop, and execute E2E test plans to validate the migration of data, applications, and workflows from Cloudera to Apache Hadoop.
- Test Hadoop ecosystem components (HDFS, YARN, Hive, Spark, Kafka, Oozie, etc.) to ensure functionality, performance, and compatibility post-migration.
- Validate data integrity, consistency, and accuracy across source and target systems during migration.
- Develop and maintain automated test scripts using tools like Python, Ansible, Shell, Java, or Scala to validate Hadoop cluster configurations, data pipelines, and workflows.
- Implement automation frameworks for regression, performance, and scalability testing of the Apache Hadoop environment.
- Integrate automated tests into CI/CD pipelines using tools like Jenkins, GitLab CI, or similar.
- Build comprehensive test suites to cover functional, non-functional, security, and performance aspects of the Hadoop ecosystem.
- Create test cases for edge cases, failure scenarios, and high-availability configurations (e.g., Kerberos, Ranger, failover)
- Proven experience in architecting, designing, building, and deploying big data platforms and applications using the Apache Hadoop ecosystem in hybrid cloud and private cloud scenarios.
- Experience with hybrid cloud big data platform designs and deployments, especially in AWS, Azure, or GCP.
- QA/testing, with at least 10 years focused on big data platforms and the Hadoop ecosystem. Proven experience testing large-scale Hadoop migrations (e.g., Cloudera to Apache Hadoop or similar). Hands-on experience validating petabyte-scale data systems in production environments
- Experience in large-scale data platform builds and application migrations. Expert knowledge of Apache Hadoop ecosystem and associated Apache projects (e.g., HDFS, Hive, HBase, Spark, Kafka, Yarn etc.).
- Strong programming/scripting skills in Python, Java, Shell, Ansible, Scala, or Bash for test automation.
- Proficiency in test automation frameworks (e.g., Selenium, TestNG, JUnit, or custom frameworks for big data). Experience with performance testing tools (e.g., JMeter, Gatling) and monitoring tools (e.g., Grafana, Prometheus). Familiarity with security testing (e.g., Kerberos, Ranger, LDAP) and cluster management tools (e.g., Ambari).
- Knowledge of CI/CD pipelines and tools like Jenkins, Git, or GitLab CI.
- Experience with version upgrades of technology stacks.
- Experience testing cloud-based Hadoop deployments (e.g., AWS EMR, Azure HDInsight, GCP Dataproc). Familiarity with containerized environments (e.g., Docker, Kubernetes) for testing Hadoop deployments.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills to work effectively with global teams.
- Ability to work independently and take initiative.
- Contributions to open-source projects.
- Training and development to help you excel in your career
- Coaching and support from experts in your team
- A culture of continuous learning to aid progression
- A range of flexible benefits that you can tailor to suit your needs
Please visit our company website for further information:
https://www.db.com/company/company.htm
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.
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