GCP Data Engineer (Pyspark/Scala/Kafka/Bigquery)

Experience: 5 - 12 Years

Location – Hybrid - Bangalore iitjobs is looking for highly skilled Data Engineers with robust expertise in Scala, Kafka, Spark, and GCP . The ideal candidate should have hands-on experience building scalable data pipelines, processing large volumes of data, and working directly with clients to deliver high-quality data engineering solutions

Required Skills:-
5–12 years of overall experience in Data Engineering.

Robust hands-on experience with:
Apache Kafka (streaming, producers/consumers, topic management)
Apache Spark (batch & streaming)
Scala (advanced programming expertise)
Experience working on Google Cloud Platform (GCP)
Solid understanding of data engineering concepts, distributed systems, and big data architectures.
Experience working with large-scale data processing and pipeline development.
Strong problem-solving and leadership skills.





Key Responsibilities:-
Lead the design and development of scalable, fault-tolerant data pipelines and streaming architectures.
Build and maintain real-time and batch data processing systems using Kafka, Spark, Scala and GCP
Architect large-scale data solutions ensuring performance, reliability, and security.
Collaborate with data scientists, analysts, and business stakeholders to deliver data-driven solutions.
Mentor and guide junior engineers; drive best practices in coding, design, and deployment.
Optimize data workflows and improve system efficiency and scalability.
Implement monitoring, logging, and alerting mechanisms for data platforms.
Drive adoption of up-to-date data engineering practices (CI/CD, data quality frameworks, etc.).

📌 Gcp Data Engineer Onsite Bangalore Bengaluru (India)
🏢 IITjobs
📍 India