Data Quality Engineer

Informa is a leading academic publishing, business intelligence, knowledge, and events business, creating unique content and connectivity for customers all over the world. It is listed on the London Stock Exchange and is a member of the FTSE 100.

Taylor & Francis is one of the world’s largest publishers of high-quality, peer reviewed scholarly journals, books, e-books and reference works. We empower learners, thinkers and doers with trusted knowledge that advances research and enriches lives. We bring together diverse people, ideas and opinions to validate and publish the experts, theories and truths that matter. And we’ve been doing this in an unbroken arc since 1798.

Our purpose is to foster human progress through knowledge.  We strongly believe that this requires us to encourage and examine different ideas and voices, so that any work that meets our exacting levels of quality deserves to be included in our publications. This requires open minds, the opportunity for robust debate, and the courage to defend perspectives that stand up to scrutiny, even if they conflict with our personal beliefs or values. Because that’s the only way to find the best obtainable version of the truth and, ultimately, foster human progress. If you agree, then we’d love to hear from you.

We are looking to add a Data Quality Engineer to our technology team in Bengaluru, India who will play a primary role in assessing the quality of Data in our analytics platform on AWS cloud through automated testing. You will be responsible for creating automated data validation scripts to test ETL data pipelines and report bugs or glitches. This position requires hands-on experience in ETL Testing and Automated Test Development. What you’ll be doing:

• Working alongside with a team comprising of super excited data and quality engineering experts, leads, analysts and managers.
• Working with large and complex data sets (SQL and No-SQL), data lakes (S3) and data warehouses (Redshift).
• Test Automation - Build automated data validation scripts to test the quality of data in data lake (S3) and data warehouses (Redshift).
• Testing ETL data pipelines on AWS, in adherence to the reference design and architecture.
• Uncover defects, report them and track them to closure.
• Contribute to automated data pipelines by plugging in data validation scripts.

What we’re looking for:

• Bachelors or master’s degree in Computer Science, Engineering, Statistics, Informatics, Information Systems or in another quantitative fields.
• 2 - 6 years of experience in Quality Engineering and Automation testing.
• Minimum 2 years of experience in ETL testing of Data Pipelines and Data Warehouse.
• Strong knowledge on SQL and querying databases.
• Minimum 1 year of hands-on coding experience in Python.
• Coding experience in R or Scala will be an added advantage.
• Good understanding of Data Analytics and Quality Engineering concepts.
• Nice to have Experience in Automated testing of AWS based solutions.
• Nice to have hands on experience on AWS Services like Athena, Glue, Redshift.
• Build automation processes and contribute to manual testing on demand.
• Prepare result reports, defect status reports and document all bug issues.
• Good understanding of Test Automation concepts.
• Knowledge/exposure to all aspects of Agile methodologies.
• Positive attitude with the ability to self-drive and self-motivate; ability to flex and adapt to sudden changes.

What we’re offering: 

• 24 days annual leave
• Volunteering days annually
• Day off for your birthday
• Pension contributions
• Medical insurance for self and dependants; life cover and personal accident cover for self
• Seasonal social and charitable events
• Training and development
• Blended style and flexi working time
• Right tools for remote working

At Taylor & Francis we care about our colleagues, promoting work-life balance, wellbeing and flexible working. We believe that the skills and experience you bring to Taylor & Francis are invaluable. We want you to have the opportunity to develop your abilities, and to innovate and develop in areas which you are passionate about.

You must have the right to work and live in the India

The role is primarily office based and therefore you MUST reside within reasonable commuting distance of the office in Bangalore and be able to work on site for a minimum of three days per week. If you are unable to meet these requirements we will not be able to consider your application.