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
We are looking for an experienced Data Engineer with strong hands-on expertise in Python, PySpark, SQL, and cloud-based data engineering.
Responsibilities
- Design, develop, and maintain scalable data processing solutions using Python and PySpark.
- Write complex SQL queries for data extraction, transformation, validation, reconciliation, and analysis.
- Build and maintain robust data pipelines and workflows using Azure Databricks and Azure Data Factory (ADF).
- Develop reusable, modular, and scalable code frameworks to support efficient data engineering.
- Design and implement data transformations and processing logic for large datasets.
- Develop solutions from scratch, following clean coding practices, reusable design patterns, and comprehensive documentation standards.
- Optimize existing code, Spark jobs, SQL queries, and data pipelines to improve performance, scalability, and resource utilization.
- Troubleshoot data pipeline failures, processing bottlenecks, and data quality issues.
- Collaborate with data engineers, analysts, architects, and business stakeholders.
- Ensure data accuracy, consistency, integrity, and reliability throughout the data processing lifecycle.
- Participate in technical design discussions, code reviews, and continuous improvement initiatives.
Qualifications
- 10 - 13 years of experience in data engineering, data development, or related software engineering roles.
- Strong hands-on proficiency in Python, including core programming concepts, data structures, modular design, and reusable code development.
- Strong experience with PySpark for distributed data processing and large-scale data transformations.
- Advanced SQL skills, including complex queries, joins, aggregations, analytical functions, and query optimization.
- Hands-on experience with Azure Databricks for data engineering and transformation workloads.
- Experience building and orchestrating data pipelines using Azure Data Factory (ADF).
- Strong understanding of data engineering principles, ETL/ELT processes, data transformation, and pipeline orchestration.
- Experience designing scalable and reusable data processing frameworks.
- Experience working with Git, code reviews, testing, and deployment practices.
- Excellent analytical, communication, and cross-functional collaboration skills.
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Job application FAQ
Last updated 25 October 2026
- How do I apply for InfoBeans Technologies - Data Engineer - Azure 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.
- Does Feedback AI show a match score for this InfoBeans Technologies - Data Engineer - Azure Databricks role?
- 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 InfoBeans Technologies - Data Engineer - Azure Databricks remote or on-site in Indore, Madhya Pradesh?
- This listing is marked on_site with location Indore, Madhya Pradesh. Confirm details on the job description before applying.
- What skills matter for this InfoBeans Technologies - Data Engineer - Azure Databricks role at InfoBeans?
- This is a mid-level InfoBeans Technologies - Data Engineer - Azure Databricks role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.