Infosys
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Noida · On-site · 1-3 Yrs · Oct 13
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
• Strong hands on GCP Data Engineering experience across scalable cloud data platforms • Expertise in Google Cloud Storage BigQuery Dataflow Dataproc Pub Sub Cloud Composer Cloud Functions Cloud Monitoring IAM and Secret Manager • Strong experience in batch and real time streaming using Pub Sub Dataflow Apache Beam Spark Structured Streaming or Kafka • Hands on coding proficiency in Python PySpark and SQL including debugging and performance optimization • Experience building high volume low latency ingestion and transformation pipelines with retry idempotency deduplication and dead letter hand
Responsibilities
- Responsibilities and JD in brief along with additional criteria to be considered
- Design and develop scalable GCP Data Engineering solutions and cloud native data platforms
- Build batch and real time pipelines using BigQuery Cloud Storage Dataflow Pub Sub Dataproc Python PySpark and Databricks
- Develop and optimize Databricks Delta Lake Spark and Structured Streaming workloads for large scale processing
- Implement high throughput streaming solutions using Pub Sub and Dataflow including windowing watermarking late arriving data duplicate handling and dead letter queues
- Handle high volume TB PB scale data with focus on performance scalability reliability and cost optimization
- Develop complex SQL transformations data models and analytics ready BigQuery datasets using partitioning and clustering
- Orchestrate pipelines using Cloud Composer Airflow and implement CI CD and Terraform based Infrastructure as Code
- Ensure data quality governance security monitoring alerting and production support
- Collaborate with architects stakeholders and cross functional teams in an Agile delivery model
- Troubleshoot and optimize end to end GCP Databricks and streaming data pipelines
- GCP BigQuery Cloud Storage Dataflow Pub Sub Dataproc batch and real time streaming Databricks Pyspark
- Python strong SQL
- Databricks with Delta Lake and Structured Streaming
- Responsibilities and JD in brief along with additional criteria to be considered
- Design and develop scalable GCP Data Engineering solutions and cloud native data platforms
- Build batch and real time pipelines using BigQuery Cloud Storage Dataflow Pub Sub Dataproc Python PySpark and Databricks
- Develop and optimize Databricks Delta Lake Spark and Structured Streaming workloads for large scale processing
- Implement high throughput streaming solutions using Pub Sub and Dataflow including windowing watermarking late arriving data duplicate handling and dead letter queues
- Handle high volume TB PB scale data with focus on performance scalability reliability and cost optimization
- Develop complex SQL transformations data models and analytics ready BigQuery datasets using partitioning and clustering
- Orchestrate pipelines using Cloud Composer Airflow and implement CI CD and Terraform based Infrastructure as Code
- Ensure data quality governance security monitoring alerting and production support
- Collaborate with architects stakeholders and cross functional teams in an Agile delivery model
- Troubleshoot and optimize end to end GCP Databricks and streaming data pipelines
- Infosys is a global leader in next generation digital services and consulting
- Within the Data Analytics unit you will work on cutting edge data engineering and analytics initiatives for global clients across industries
- The role offers opportunities to work with cloud native data platforms modern analytics ecosystems AI driven solutions and large scale enterprise data modernization programs
- Employees benefit from continuous learning programs certifications and career growth opportunities within Infosys data and analytics practice
Nice to have
- Technology->Cloud Platform->GCP Database
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Job application FAQ
Last updated 30 October 2026
- How do I apply for GCP Data Engineer 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 GCP Data Engineer 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 GCP Data Engineer remote or on-site in Noida, Uttar Pradesh?
- This listing is marked on_site with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this GCP Data Engineer role at Infosys?
- This is a mid-level GCP Data Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.