Job Description

Company Description
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 currently looking to bring on a talented, self-motivated and conscientious Technical Lead, Data & Analytics to work in our technology group in Data, Insights and Analytics team focusing and gaining insights from analyzing company data. You will be providing technical leadership in solving complex analytics' problem.
The lead must be comfortable working with a wide range of data generated by applications, systems, services, users, websites, partner sites and systems and these data continuously flowed in from functions like editorial, production, products, customers, sales, marketing, finance and others in academic publishing. These data are made available by AWS cloud services, complex ERP and CRM systems, events and logs across business functions. The right candidate must have strong experience using a variety of ETL/ELT techniques and analytics practices and data tools. The lead must be a passionate engineer who can uncover and answer the problems that can be found by understanding large amount of data sets.
Closing Date: Applications will close on 11th November 2025.
What you'll be doing:

• Evaluate, implement and recommend Big Data technology stack that would align with company's technology on AWS.
• Drive significant technology initiatives end to end and across multiple layers of data and analytics engineering.
• Ability to evangelize next generation infrastructure in analytics space (Batch, Near Realtime, Realtime technologies) on AWS cloud.
• Passionate for continuous learning, experimenting, applying the open-source technologies and software paradigms.
• Enrich and refine the backlog by working closely with engineering managers and delivery leads of the academic publishing business domains.
• Managing the dependencies across the team, setting the expectations and working towards addressing various goals and OKRs.
• Work closely with several data engineering scrum teams and manage day-to-day chores.
• Eager to assure quality by a helping in developing a strong validation and verification checks in the data engineering solutions.
• Provides strong technical expertise in adopting and contributing to open-source technologies related to Bigdata and analytics.
• Define and Drive best practices.
• Be a role model to data engineers pursuing technical career path in engineering.

Qualifications
What we are looking for:

• Minimum of 8+ years of overall experience including but not limited to architect, design and development using various database technologies.
• A minimum 4+ years of hands-on association with AWS Analytical services and big data stack.
• Ability to Design and build High Availability architecture.
• Ability to successfully lead a team of data engineers, data evangelists, stewards and business analysts through all phases of the data engineering life cycle.
• Active in the community in terms of articles / blogs / speaking engagements at conferences - this is an added big advantage.
• Big advantage will be for having experience in presenting data using: PowerBI/ Tableau/Quick Sight.
• Knowledge in a variety of machine learning is an added advantage.
• Excellent written and verbal communication skills for coordinating across teams.
• The ideal candidate is someone with the following:

• Experience using Cloud technologies: AWS Athena, Glue, EMR, Lake formation, RDS, Redshift, S3, Kinesis, Data pipelines etc.
• Experience querying databases both SQL and No-SQL.
• Coding knowledge and experience with several Python/Java/Scala, etc.
• Experience analysing data from 3rd party providers: Google Analytics, Facebook Insights, etc.
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.

Additional Information
What we offer in return:

• 24 days annual leave
• 4 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

Additional Information:

• You must have the right to work and live in Bengaluru, India

We believe that great things happen when people connect face-to-face. That's why we work in-person with each other, or with customers and partners, three days a week or more. When you're not spending time together in one of our offices or other workplaces - like at conference - you get the flexibility and support to work from home or remotely.
The successful candidate will be able to utilise our balanced working model. We ask that candidates live within a commutable distance of our office in Bengaluru to ensure that as a balanced worker they can make it to our office location 3 days per week.
We want all our candidates to shine in our recruitment process. Please let us know if there is anything we can do to ensure you are able to show us your best self. This could include having the application form in a different format, more time for questions, or anything else - please ask us, we are happy to be flexible! Please contact
Being Yourself at Taylor & Francis
If you're excited about working with Taylor & Francis to foster human progress through knowledge, we invite you to apply even if your existing skills and experience don't fit every item listed above. At Taylor & Francis, we are at our best and most successful when colleagues can be themselves and contribute regardless of their identity or background. As a colleague, you will have the opportunity to further innovate and develop in areas that you are passionate about. Our goal is to empower you with the resources, incentives, and flexibility you need to enjoy success at work and to live a healthy, balanced life.
Taylor & Francis is proud to be an Equal Opportunity Employer. We believe in and value diversity of people and thought, fostering a supportive and inclusive environment where all colleagues can learn and succeed as their true selves. Taylor & Francis recruits, develops, and retains colleagues without regard to any protected personal characteristics or other non-merit-based factor.
If you have a disability, or face another barrier, and would like to request an adjustment to assist your participation in the hiring process and/or in the advertised position, please contact Ivy Ma. Your request will be reviewed and considered in the strictest confidence.
We genuinely 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. To find out more about our business and the great career opportunities please go to our Careers Site:

Skills Required