Infosys
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Bengaluru · On-site · 3-6 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
Azure Synapse Analytics, Azure Data Lake Storage (ADLS), PySpark, Delta Lake, CI/CD for data pipelines, AZURE DATAFACTORY
Responsibilities
- Design, develop, and maintain end-to-end data pipelines using Azure Data Factory for batch and scheduled workloads.
- Build and orchestrate data transformations and processing workflows using Databricks aligned to business requirements.
- Implement robust pipeline monitoring, alerting, and failure handling to ensure reliable and repeatable executions.
- Perform data validation and reconciliation checks to ensure accuracy, completeness, and consistency across sources and targets.
- Optimize pipeline performance by tuning ADF activities, improving orchestration logic, and streamlining transformations in Databricks.
- Collaborate with cross-functional teams to gather requirements, estimate effort, and deliver solutions within timelines.
- Maintain technical documentation for pipelines, datasets, schedules, dependencies, and operational runbooks.
- Support deployments and environment promotions by following structured release and change management practices. Minimum Qualifications:
Qualifications
- Strong understanding of data transformation best practices and implementing efficient processing in Databricks.
- Exposure to building data quality checks and operational dashboards for pipeline health and SLA tracking.
- Familiarity with performance tuning approaches for cloud data pipelines and distributed processing workloads.
Education
- Overall experience: 3–5 years in data engineering / data integration roles.
- Hands-on experience with Azure Data Factory including pipeline development, scheduling, triggers, and integration patterns.
- Hands-on experience with Databricks for data processing and transformation workflows.
- Ability to troubleshoot pipeline failures, analyze logs, and implement corrective actions to improve stability.
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Job application FAQ
Last updated 26 October 2026
- How do I apply for Azure Datafactory 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 Datafactory 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 Datafactory 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 Datafactory role at Infosys?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.