Job Title: Data Engineer Scala | Spark | Kafka | GCP

Experience: 5 to 12 Years
Employment Type: Full time
Location: Bangalore (Onsite)

Immediate joiner prefer

Job Summary

We are looking for an experienced Data Engineer with strong expertise in Scala, Apache Spark, Apache Kafka, and GCP to design, build, and optimize scalable data platforms and high-performance data pipelines.

Key Responsibilities
Design, develop, and maintain scalable, fault-tolerant data pipelines.
Build real-time and batch data processing applications using Apache Spark, Scala, and Kafka.
Develop and optimize enterprise-scale data engineering solutions.
Work closely with data scientists, analysts, and business teams to deliver data-driven solutions.
Optimize data processing workflows for performance, reliability, and scalability.
Implement monitoring, logging, and alerting for production data pipelines.
Follow best practices for coding, testing, deployment, and data quality.
Support CI/CD implementation and automation for data engineering workflows.

Mandatory Skills
Solid hands-on experience with Scala




Expertise in Apache Spark (Batch & Structured Streaming)
Strong experience with Apache Kafka
Experience with Google Cloud Platform (GCP)
Strong understanding of distributed systems and big data technologies.
Experience designing and developing scalable data pipelines.
Excellent analytical, problem-solving, and communication skills.
Ability to work in a fast-paced Agile workplace.

Good to Have
Experience with AWS or Azure
Knowledge of Delta Lake, Apache Iceberg, or Lakehouse architecture
Experience with Docker and Kubernetes
Hands-on experience with Apache Airflow or other workflow orchestration tools
Exposure to DevOps practices and CI/CD pipelines

Preferred Qualifications
Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
Experience working with enterprise-scale data engineering projects.
Strong ownership mindset with the ability to deliver high-quality solutions.

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