QA Data Engineer, AVP

Position Overview

Job Title: QA Data Engineer, AVP

Location: Pune, India

Corporate Title: Assistant Vice President

Role Description

• We are looking for a data engineer who can design and build data pipelines for MI Dashboards .
• Person will be responsible for end to end solutioning from data collection till point that it is displayed to the MI Dashboard.

What we'll offer you

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

Your key responsibilities

As a Senior QA Automation Specialist your main responsibilities will involve:

• Actively participates in the design, development and maintenance of scalable test automation frameworks and harnesses
• Adheres to test automation best practices as defined at organization level
• Analyze system requirements and defines automation scope at user story level
• Designs, develops, and maintains automated test scripts
• Performs test automation executions, identifies failures root cause and compiles reports to stakeholders
• Analyze requirements, write test cases, and create test data
• Identifies defects based on test executions results, submits them in the bug tracking tool and tracks them throughout the defect lifecycle
• Helps and provides mentorship to other members of the team from a test automation perspective
• Develop and maintain effective working relationships with team members (vendor, IT, and business users across different countries and time zones)
• Identifying areas of weakness to existing procedures, continually implement new procedures, and assessing risk of impact from changes to projects
• Collaborate with the Engineering teams to integrate automated testing with CI/CD and other Engineering processes
• Introduce/improve data quality checking approaches to our overall automation tooling

Your skills and experience

• 8+ years of experience majorly around testing within Data Engineering domain
• Expert in SQL
  • Hands on with writing performant and efficient SQLs
• Experience on testing on GCP
  • Able to write SQLs on BigQuery
  • Able to understand cost aspects of SQLs
  • Write Py/SQL scripts to automate testing on large datasets
  • Buckets/Composer
  • Looker/Tableau
• Writing test cases, creating mapping and data lineage documents
• Test planning, designing, and test strategy/case/script creation and execution
• HP-ALM experience
• Strong experience in software development processes, models, lifecycles, and methodologies, with particular emphasis on Agile
• 6+ years overall software testing experience
• Hands-on experience with version control systems such as Git
• Familiarity with cloud platforms, especially Google Cloud Platform (GCP)
• Working in parallel on more than one initiative, good time and priorities management
• Good communication, organizational and test reporting skills
• Bachelor's Degree from an accredited college or university in Computer Science (or equivalent diploma/work experience)

How we'll support you

• 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

About us and our teams

Please visit our company website for further information:

We strive for a 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.