Data Engineer

  • Proficient in coding specially in Python. Knowledge on scala is an added advantage
  • Hands on experience in SQL, ETL Tools and proficient in AWS / AZURE
  • Ability to create complex data processing pipelines, as part of diverse, high energy teams
  • Designing scalable implementations of the models developed by our Data Scientists
  • Hands-on programming based on TDD, usually in a pair programming environment
  • Deploying data pipelines in production based on Continuous Delivery practices.
  • Able to build and operate Data Pipelines, Build and operate Data Storage, Is familiar with Infrastructure definition and automation in this context. Is aware of adjacent technologies to the ones they have worked on. Good understanding of Data Modelling.
  • Experience in HDFS, S3, NoSql Databases and distributed platforms like Hadoop, Spark, Flink, Hive, Kafka, Oozie, Airflow, Elasticsearch etc.
  • Experience creating and building data centric application involving ML models
  • Actively seeking to learn newer tech and curiously experimenting is a trait that would be preferred.
  • Excellent understanding of technology landscape

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