Senior Associate – Backend Engineer (Data Business CoE)

About us

Bain \& Company is a global management consulting that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.

In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services.

Who you will work with

• Pyxis combines alternative data, AI\-driven analytics, and institutional investor\-led insights to reveal where, how and why consumers buy, how they pay, how much they spend, how their needs and demands are changing, and much more.
• By revealing previously opaque fundamental business trends and their drivers, Pyxis enables investors and business decision makers to efficiently allocate capital and address critical problems.
• Pyxis has assembled one of the most comprehensive collections of alternative data covering hundreds of millions of people and tens of billions of transactions across the U.S., Canada, Brazil, UK, France and Japan as well as targeted countries across the EU and APAC. This data provides a longitudinal view of consumer and business transactional behaviors—across nearly all verticals over the last six years—and plays an integral role in answering companies’ and investors’ questions about market share, category size, pricing and promotion effectiveness, assortment optimization, ad targeting, loyalty, switching behavior, disruption, and more.
• These state\-of\-the art capabilities enable Bain to provide its clients with a valuable new dimension in investment analysis and strategy development, complementing Bain’s proven "outside\-in" approach with the ability to apply complex data sets to assess company fundamentals.
• BCN Pyxis modeler will work closely with the BCN team manager, Pyxis Product Manager, General Manager, Bain Partners, and the Proprietary Data group to build and deliver a commercially successful product that spans core sectors across all regions.
• The working style of the team would be to support Pyxis product development , hence the pipelines and algorithm built should be scalable and automated to support subscription clients

What you’ll do

Key Responsibilities

• Design, develop, and maintain scalable backend services and REST APIs using Python and FastAPI.
• Build high\-performance APIs capable of handling large datasets, complex queries, and data\-intensive workloads.
• Work across workstreams to deliver high\-quality, zero\-defect deliverables and leverage manager’s support on complex pieces
• Gather requirements from product managers and business users and translate them into technical designs and well\-scoped backend solutions
• Provide technical guidance, code reviews and mentoring to junior team members
• Work extensively with SQL databases (Snowflake,Straburst) for complex data extraction, transformation, manipulation, and analysis.
• Optimize SQL queries, database schemas, indexing, and data processing pipelines for performance and scalability.
• Develop efficient data wrangling and processing workflows to handle large, structured and semi\-structured datasets.
• Integrate backend services with external APIs, databases, AI models, and other enterprise systems.
• Implement robust authentication, authorization, API security, data encryption, and secure coding practices.
• Work with cloud infrastructure (AWS/Azure/GCP), Docker, CI/CD pipelines, and deployment processes.
• Ensure backend reliability through proper logging, monitoring, error handling, testing, and performance optimization.
• Collaborate with frontend developers, data scientists, and AI engineers to deliver end\-to\-end solutions.

About you

• Work experience: 6\+ years of experience in backend or data engineering, with hands\-on experience building production\-grade services using Python, SQL and AWS
• Education Required: Incumbent should be a graduate/post graduate from top\-tier institute or have pursued a statistical/analytical course from a tier 1 university

• *Preferred:** Concentration in a quantitative discipline such as Engineering, Computer Science, Econometrics, Business Analytics, or Market Research is strongly preferred.

Required Skills \& Qualifications

• Strong hands\-on experience with Python and FastAPI for backend application development.
• Excellent SQL skills, including complex joins, CTEs, window functions, query optimization, and handling large datasets.
• Experience with data manipulation and wrangling using Python libraries such as Pandas or Polars.
• Solid understanding of RESTful APIs, asynchronous programming, and backend architecture.
• Working knowledge of cloud infrastructure, Docker, CI/CD, and application deployment.
• Understanding of backend security fundamentals, including OAuth2, JWT, RBAC, API security, secrets management, and data protection.
• Familiarity with Git, unit testing, debugging, and production\-grade software engineering practices.

Good to Have / Preferred Skills

• Exposure to Generative AI / LLM\-based applications, including OpenAI APIs, Azure OpenAI, or similar services.
• Understanding of RAG architectures, vector databases, embeddings, and AI\-powered backend integrations.
• Familiarity with Redis, Celery, message queues, and background job processing.
• Experience with Kubernetes, infrastructure\-as\-code, or cloud\-native architectures.

What makes us a great place to work

We are proud to be \[1] consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the \#1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for \[2] diversity and inclusion, women, LGBTQ and parents.

References

Visible links

1\. http://www.bain.com/about/what\-we\-do/awards/index.aspx

2\. https://www.bain.com/about/diversity\-inclusion/