ClickHouse Expert | 7+ Years | Any UST Location | Immediate Joiner

UST

Bengaluru

Presencial

INR 1 200 000 - 1 800 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

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Resumo da oferta

UST in Bengaluru is looking for candidates with strong ClickHouse expertise and over 7 years of IT experience. Responsibilities include handling ClickHouse architecture, performance tuning, and ETL/ELT pipelines.

The ideal candidate should possess skills in SQL, Linux, and cloud platforms like AWS, Azure, or GCP. Good-to-have skills include Kafka, Spark, Docker, and real-time analytics experience. Immediate availability is a plus.

Qualificações

  • 7+ years of overall IT experience.
  • 3+ years of hands-on experience with ClickHouse.
  • Strong expertise in ClickHouse architecture, cluster setup, replication, and sharding.

Conhecimentos

ClickHouse
SQL
Python
Java
Scala
ETL/ELT pipelines
Linux
AWS
Azure
GCP

Ferramentas

Kafka
Spark
Flink
Docker
Kubernetes
Grafana
Prometheus

Descrição da oferta de emprego

Candidates ready to join immediately can share their details via email for quick processing.


nitin.patil@ust.com


_____________________________________________________________________________________________________


Must-Have Skills


  • 7+ years of overall IT experience

  • 3+ years of hands-on experience with ClickHouse

  • Strong expertise in ClickHouse architecture, cluster setup, replication, and sharding

  • Experience in ClickHouse performance tuning and query optimization

  • Strong SQL skills and database design concepts

  • Experience with large-scale data warehousing and analytics platforms

  • Hands-on experience with ETL/ELT pipelines

  • Experience with Python, Java, or Scala for data processing

  • Experience working with Linux environments

  • Knowledge of data partitioning, indexing, and storage optimization

  • Experience with cloud platforms (AWS, Azure, or GCP)


Good-to-Have Skills


  • Experience with Kafka, Spark, or Flink

  • Knowledge of Kubernetes and Docker

  • Experience with monitoring tools such as Grafana and Prometheus

  • Exposure to data lake architectures

  • CI/CD and DevOps practices

  • Experience in real-time analytics and reporting solutions

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