Infosys
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Bengaluru · On-site · 7-10 Yrs · Sep 28
Information Technology Support Services · 10000+ Employees · Bengaluru, India
Infosys is a global leader in next-generation digital services and consulting. Over 300,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace. Visit www.infosys.com to see how Infosys (NSE, BSE, NYSE: INFY) can help your enterprise navigate your next. Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.
Hiring: Engineering
What employees say
+ they are asking to do 1 question out of 2 by making the candidates login in their wingspan , mostly focused on asking dp , sliding , kadane
− Difficulty level varies progressively , but overall it is a medium to hard interview
More reviews on the company profile.
Interview experience · Dse
DSA , SQL, OOPS and DBMS was aksed but the questions was of easy to medium level, I performed very bad, so I got rejected but my friends who performed average got selected.
Average difficulty · India · 18,428 reports
More interview insightsJob description
Overview
Position: ADF, Databricks, PySpark Engineer
Responsibilities
- Design, develop, and maintain data pipelines using Azure Data Factory (ADF).
- Build scalable data processing solutions using Azure Databricks, Python, and PySpark.
- Develop ETL/ELT workflows for data ingestion, transformation, and loading.
- Work with Azure Data Lake Storage (ADLS), Azure SQL, and other Azure data services.
- Optimize Spark jobs and Databricks notebooks for performance and scalability.
- Implement data quality checks, validation rules, and monitoring processes.
- Create and manage end-to-end data integration solutions across multiple data sources.
- Collaborate with business stakeholders and data teams to understand data requirements.
- Troubleshoot and resolve data pipeline and performance issues.
- Follow coding standards, version control, and CI/CD best practices.
- Support data warehousing and analytics initiatives.
- Prepare technical documentation and maintain deployment artifacts. .
Qualifications
- Location: Bangalore, Trivandrum
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Job application FAQ
Last updated 2 October 2026
- How do I apply for Azure Data Engineer (ADF, Databricks, Python, PySpark) (Bengaluru) at Infosys?
- 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. Infosys may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Azure Data Engineer (ADF, Databricks, Python, PySpark) (Bengaluru) 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 Azure Data Engineer (ADF, Databricks, Python, PySpark) (Bengaluru) remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Azure Data Engineer (ADF, Databricks, Python, PySpark) (Bengaluru) role at Infosys?
- This is a mid-level Azure Data Engineer (ADF, Databricks, Python, PySpark) (Bengaluru) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.