Key Skills


If you aspire to create a big impact with your big data skills, lets meet-up. We work across the value chain of Bigdata and Hadoop eco-system to build and support solutions of new age, you will work with our global customers and expert teams to deliver a unique business value.
Key Responsibilities

  • Develop, maintain, test and support what the big data solutions architect has designed.
  • Works on implementing big data projects with a focus on collecting, parsing, managing, analysing and visualizing large sets with different (NoSQL or RDBMS) databases (MongoDB, Cassandra, HBase, Hive, Pig, Impala)
  • Should be able to design and develop different integration frameworks for structured, semi-structured and unstructured data.
  • Effectively get involved in the solution reviews where MapR Hadoop technologies are used.
  • Interface with SMEs, Big data Solution Architects, Analytics team Product managers and Domain Architects to review to-be developed solution.
  • Test deliverables for build and data quality and ensure requirements are completely met.
  • Be a subject matter expert in advanced analytics and an expert in our iDS Data Science bigdata landscape, toolsets and offerings.
  • Should be a thinker and has the ability to solve problems independently.

Required Skills

  • 4+ years of relevant experience.
  • Any ME / M Tech / Be / B Tech with an excellent academic record.
  • Machine Learning & NLP enthusiasts with good scripting and programming skills and hands-on expertise on Java, Python, R, Hadoop.
  • To be proficient in designing efficient and robust ETL workflows and sound knowledge of various ETL techniques and frameworks, such as Flume.
  • Good experience with Spark, Cloudera/MapR/Hortonworks. Certification will be an advantage
  • Experience with various messaging systems, such as Kafka or RabbitMQ
  • Good knowledge in programming / scripting languages -Java, Linux, C++, Python, Ruby.

Tools & Technologies

  • Core Java, J2EE, Collections, Scala, Python
  • Hadoop, HDFS, Spark, Kafka and related Big Data tools.
  • DB/NoSql – MongoDB, MySql or any No SQL DB.

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