Bain Company India Hiring Drive 2024 For Associate – Data Engineer | Location Bengaluru

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Bain Company India Hiring Drive 2024: Bain Company India Hiring Drive 2024 for its Associate – Data Engineer. Bain Company India Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Master’s or any other advanced degree in a field linked to analytics such as Computer Science. if you are interested, please apply as soon as possible.

Company Name: Bain Company India

Role: Associate – Data Engineer

Location: New Delhi, Bengaluru

Experience: 0 – 3 years

Qualification: Master’s or any other advanced degree in a field linked to analytics such as Computer Science

Batch: Any

Job Type: Full Time

Salary: Best in Industry

Bain Company India Hiring Drive 2024

Job Description:

  • We are seeking a strong candidate with experience in building applications around advanced analytics models, including front-end and back-end, and hosting said applications to fill an exciting Associate (AS) role within BCN Labs
  • The AS is expected to have a strong expertise in designing and building business-intuitive front-end interfaces and in setting up a robust back-end for our Machine Learning models and analytical solutions
  • The team has quite a few data scientists and the AS would have to interface with them on a day-to-day basis to enable the analytical solutions to be encapsulated within innovative, intuitive and seamless apps for end-clients and non-technical business leaders


  • A Masters or any other advanced degrees in a field linked to analytics such as Computer Science, Information Technology (IT), Operations Research, Engineering, etc
  • If you are a Bachelors in any of the fields mentioned above, then we would seek a stellar academic record with proof of ability in not just implementing applications but also working through the end-to-end delivery cycle of analytical solutions including hosting
  • Excellent skills in HTML, CSS, JavaScript, SQL, Ajax, working with APIs – RESTful or otherwise, a coding language such as C or JAVA and an intermediate exposure to Python.
  • Having skills and exposure to Django and/or Streamlit would be given preference, although it is not a mandatory requirement.
  • (Good-to-have, but not necessary) Exposure to either AWS or Azure with some experience of deploying Python based solutions on these cloud platforms, Airflow, Snowflake, PySpark, Git, Docker, etc
  • You will fit into our team-oriented structure with a college/hostel-style way of working, having the comfort of reaching out to anyone for support that can enable our clients better
  • At least 1 or 2 years of demonstrated abilities in data engineering and software development if you are a Masters degree holder; and, at least 3 years of a stellar career track record if you are a Bachelors degree holder
  • Demonstrated abilities to manage and deliver data-driven projects


  • Collaborate with data scientists (who typically work with Python) to design and help build automated, deployable solutions using data orchestration tools (like AirFlow, etc)
  • Develop and maintain front-end interfaces for data science applications, enhancing user experience and interaction with complex data sets.
  • Assist in the design and implementation of database solutions and data pipelines, supporting analytics and machine learning projects.
  • Lead the integration of Python-based models with databases via RESTful APIs, facilitating real-time data processing and analytics.
  • Employ Docker for application containerization and Git for version control, ensuring code quality and efficient team collaboration.
  • Successfully deploy multiple applications on AWS, optimizing cloud resources for cost-efficiency and scalability.
  • Contribute to the development of internal tools and platforms using technologies like Django and/or Streamlit to improve productivity and project delivery times.
  • Engage in continuous learning to stay ahead of emerging technologies and methodologies in data engineering and software development.

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