Big Data Engineer
Econolytics
Mumbai, Maharashtra, India
4d ago

Must have skills : Good understanding of RDBMS concepts and practical experience of writing SQL queries and stored procedures.

  • Good conceptual understanding of NoSQL databases (Key / Value, Document, Column family, Graph databases), Apache SOLR, Lucene etc.
  • Hands on experience with at least some of the NoSQL databases (Preferable if it includes MongoDB, Cassandra, Redis or Neo4J).
  • Good concept ual understanding of HDFS and have hands on experience with at least one of the querying tools like Pig, Hive and Impala.
  • Fundamental understanding of MapReduce computing paradigm and working experience with at least one of the frameworks / data stores which supports map-reduce capability.
  • Should have practical experience of programming in at least one of the general purpose programming languages like Java, Python, Scala etc.
  • Highly desired but not mandatory : Experience of building data pipelines for doing the ETL using tools / languages like Informatica, Python, Perl, Bash, Autosys etc.

  • Experience with Apache Spark. ? Understanding of high volume data ingestion and streaming platforms like Kafka and Spark streaming.
  • Good to have skills : Exposure to BI tools like Tableau, Qlikview etc. ? Exposure to storage and processing services offered by cloud providers like AWS, Google Cloud, Microsoft Azure etc.

  • Conceptual understanding of Data warehouse modelling techniques
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