Data Engineer (Data Pipeline & Analytics)
Flex-I Partners
12d ago

Job Description

We are looking for Data Engineer for one of the Product based Start company located in HSR Layout (sector 2)

As a Data Engineer, you will be working towards ,

  • building a robust ETL pipeline to manage data from disparate of data sources
  • building and scaling our backend data stores and compute engines to process large quantities of data
  • creating text corpora of multilingual data, and tools to process them in a variety of ways
  • building a low latency serving layer that powers our dashboards, reports, and other analytics functionality
  • building an analytics pipeline to serve actionable insights and recommendations to our customers
  • building a culture of data and statistics driven thinking in everything we do.
  • You should

  • Be passionate about writing code. Have experience coding in multiple languages, including at least one scripting language.
  • Be able to argue convincingly why feature X of language Y rocks / sucks, and so on.

  • Have some personal projects that you work on during your spare time. Show off projects you have hosted on Github.
  • Use the command line like a pro. Be proficient in regular expressions, Xpath and other libraries for parsing and extracting unstructured data.
  • Have built RESTful APIs; addressed challenges of scale and performance.
  • Have exposure to large scale computational models such as MapReduce and Spark
  • Have experience using one or more storage and indexing technologies such as MongoDB, Cassandra, Solr, Elastic.
  • Be a generalist who has the ability to pick up any of these over a weekend and get to work on the Mondaynext
  • Be a self- starter, someone who thrives in environments with minimal management
  • It’ll be nice if you also

  • Have exposure to analytics tools and libraries like R and Pandas
  • Have background in Machine Learning.
  • Apply
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