Data Engineer – Ascendeum

Website Ascendeum

We at Ascendeum provide Data and AdTech strategy consultation to leading internet websites and apps. Since 2015, our team of consultants and engineers have been consistently delivering intelligent solutions that enable enterprise-level websites and apps to maximize their digital advertising returns.

The Role

  • You will be responsible for :
  • Understand long-term and short-term business requirements to precision match it with the capabilities of different distributed storage and computing technologies from the plethora of options available in the ecosystem.
  • Create complex data processing pipelines
  • Design scalable implementations of the models developed by our Data Scientist.
  • Deploy data pipelines in production systems based on CICD practices
  • Create and maintain clear documentation on data models/schemas as well as transformation/validation rules
  • Troubleshoot and remediate data quality issues raised by pipeline alerts or downstream consumers

Ideal Profile

  • 1-3 years of overall industry experience in building and deploying large scale data processing pipelines in a production environment.
  • Experience building data pipelines and data-centric applications using distributed storage platforms such as HDFS, S3, NoSql databases (Hbase, Cassandra, etc) and distributed processing platforms such as Hadoop, Spark, Hive, Oozie, Airflow, etc.
  • Hands-on experience with MapR, Cloudera, Hortonworks, and/or Cloud (AWS EMR, Azure HDInsights, Qubole, etc) based Hadoop distributions
  • Practical experience working with well-known data engineering tools and platforms – Kafka, Spark, Hadoop
  • Solid understanding of Data Modelling, ML and AI concepts
  • Proficient in programming language: Python
  • Education: B.E, BTech, MTech, MS

What’s on Offer?

  • Opportunity to make a positive impact
  • Flexible working options
  • Attractive salary & benefits

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