Snaphunt | Jobs | Senior Data Engineer | BigDataKB.com | 18-02-22

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Job Location: Bangalore/Bengaluru

  • Work alongside & learn from best in class talent
  • Excellent career development opportunities
  • Flexible working options

Our client is a UK-based company with its office located in multiple cities. Their core management team is from IIM-X and IIT-X.

The Job

Responsibilities:

  • You will collaboratively design, build, and maintain microservices in our platform.
  • Work closely with our Data Science and Machine Learning teams in highly impactful and complex challenges, help redefine how the business processes work using AI and help expand the data services and products, taking them to the next level while using state-of-the-art technologies.
  • Collaborate with Data Scientists, Big Data, Software Engineers, Tech Ops, and Release Engineers to deliver efficient data products.
  • Design and develop scalable and performance-oriented services with a strong emphasis on algorithmic design and scalability.
  • Work with the Big Data team to develop and maintain large-scale Data Science services.

The Profile

  • You have at least 4 years of experience in Computer Science and/or Software Engineering roles
  • Expert in Python, Java or C++ backend development and microservices
  • Passionate about code quality and delivering high-quality software
  • Capable of delivering production-level code and managing the software lifecycle
  • DevOps mindset and experience with any of the following Docker, Terraform, Ansible, Kubernetes, Cloud Environments (Azure, Google, AWS), CI/CD
  • Experience in distributed data stores (Cassandra, Bigtable, HBase, MongoDB, HDFS)
  • Exposure to batch and streaming processing (Hadoop, Spark, Kafka, Flink, Beam, Storm, Samza)
  • Hands-on experience in developing big-data ETLs and orchestration (Hue, YARN, Airflow, Luigi, Zookeeper)
  • Strong preference for proven experience in scaling and architecting production-level machine learning systems and data products

Ref: UE5DIJSMNS

Apply Here

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