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Sr. Big Data Engineer

15 days ago 2025/01/04
Remote
Full Time Employee · 4-15 Years of Experience
500 Employees or more · Business Support Services - IT Services - Banking

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Job Description

  • Seasoned data professional with demonstrated ability to approach data challenges holistically and practically, in line with the strategic needs of a digital bank.
  • Proven track record in constructing robust Big Data pipelines capable of real-time processing, instrumental in delivering instant banking services and real-time analytics.
  • Extensive development experience with Cloudera CDP, familiar with its various components and their application in a digital banking environment.
  • Hands-on experience with Spark, Spark Streaming, and Spark optimizations, capable of managing large-scale, high-speed data processing tasks crucial in digital banking.
  • Proficient with Hive, Impala Kudu, HBase, and Phoenix, experienced in managing substantial databases typical in the banking sector.
  • Skilled in using orchestration tools like Oozie & Airflow, capable of managing complex workflows integral to automated banking processes.
  • Experienced Kafka developer, adept at using Kafka Connect, Schema Registry, and Kafka Stream for handling high-volume, real-time messaging crucial for digital banking services.
  • Proficient with Apache Nifi and Nifi Registry, experienced in managing complex data flows vital for real-time banking operations.
  • Solid programming skills in Scala, Python, and Java, with a focus on developing and optimizing data-intensive applications for digital banking.


Skills

Minimum 5 years experience in Big Data

Experience in below technologies:

  • Kudu
  • Kafka
  • HBase
  • Cloudera
  • PySpark

Preferred Candidate

Years of Experience
Min: 4 Max: 15
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