InfoBeans
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Information Technology Support Services · 501 to 1000 Employees · Indore, India
Whether you want to stay at the forefront of innovation, or simply solve a challenging problem for your enterprise, we have the right temperament and the skill sets to help you achieve your business goals through technology. Our clients, many among the world’s largest, are a testimony to the focus that InfoBeans brings in making them successful in their endeavor to widen revenue streams, achieve cost efficiency and enhance customers’ experience. Our highly passionate team members across our state-of-the-art offices in the USA, Germany, UAE and India are differentiated by the passion to deliver outcomes for all our global clients in their Digital Transformation and Product Engineering journeys. Our values are simple and the foundation of our culture stands on four pillars - Excellence, Ownership, Compassion, and Openness. Be it managing team expectations or managing customer experience; every process is led by our cultural pillars that are at the core of each aspect of the business. Fun is in our DNA - we are a team of passionate leaders who celebrate the diversity that fuels our creativity and innovation. Our team members enjoy an open culture, flat hierarchy, and are happy to be working in an environment of trust and care for one another. We are proud to have been awarded "Great Place to Work" and "Dream Companies to Work For" multiple times. We are consistently ranked amongst the top 50 IT/ITES mid-tier firms in India and have been recognized as the best under various categories in numerous government and private forums. InfoBeans is listed on the National Stock Exchange in India. In its 21st year of growth, InfoBeans is built on a solid foundation of people, finances, and processes with an intense focus on Creating WOW in everything we do. InfoBeans' founders have consistently practised fiscal prudence to make it a financially robust organization.
Hiring: Engineering
What employees say
+ Salary on time. Good Working experience if project is good
− No bench policy. Project over, then you will let go if there is no matching profile job available.
More reviews on the company profile.
Interview experience · Data Scientist Gen AI
It was a pathetic and disappointing experience with the organization. There was 1 round. It went well and after shortlisting the company ghosted me. The HR and her manager kept on lying the whole time for 2 weeks complet
Average difficulty · India · 94 reports
More interview insightsJob description
Overview
Role: Python Developer with Azure Databricks Exposure
Qualifications
- Develop highly scalable applications using Core Python and web frameworks like Django, Flask, or FastAPI.
- Perform data analytics tasks and execute complex SQL queries across relational and cloud databases.
- Work hands-on in the Azure Databricks environment utilizing PySpark, notebooks, integrated repos, job workflows, Delta Lake, and Unity Catalog.
- Build and integrate interconnected Azure components including Azure Functions, App Service, Containers, Synapse Analytics, and API Management.
- Create custom visualization dashboards integrating Power BI with REST APIs.
- Orchestrate data integration workflows and manage code using Azure Data Factory, Databricks Workflows, Git, GitHub, and Azure DevOps.
- Opportunity to work with state-of-the-art Azure cloud components, big data architectures, and Databricks workflows.
- Engage in high-impact projects within the financial sector, particularly in risk management.
- Thrive in an innovative and collaborative engineering culture that values continuous tech advancement.
- 8+ years of prior experience as a developer working with required Python and cloud technologies.
- Strong proficiency in Core Python, scripting (PySpark, SQL, Bash), and web frameworks (Django, Flask, or FastAPI).
- Hands-on exposure to Azure Databricks, Apache Spark, and interconnected Azure infrastructure.
- Exposure to JavaScript technologies, preferably React.
- Highly desirable domain knowledge in Financial services, particularly Risk Management.
- Proficiency with version control systems and workflow orchestration tools like Git, GitHub, Azure DevOps, and Azure Data Factory.
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Job application FAQ
Last updated 3 October 2026
- How do I apply for Python Developer with Databricks at InfoBeans?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. InfoBeans may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Python Developer with Databricks remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Python Developer with Databricks role at InfoBeans?
- This is a mid-level Python Developer with Databricks role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.