Job description

Total 9+ yrs of experience

  • spark Scala programming
  • spark real time streaming - Kafka,Kudu,Impala,HBase spark scala batch pipelines
  • GCP ,AWS - data pipelines
  • Oozie , Airlfow, composer - scheduling tools
  • CICD Jenkins basic java/springboot,
  • This is TEAM LEAD Position, Lead Experience is highly Preferred.
Job Description

  • Experience in data engineer , Data Analytics
  • Big Data Technologies Expert in Python.
  • (Developer level Expertise expected), Programming experience in Python, R programming , Algorithms Spark, Kafka Good experience in the Data Models for Client
  • Reporting, Dash boarding; Client tools H2O, Tensor Flow,
  • Distributed Data Platforms HDFS, Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks.
  • Experience in MapReduce is a plus.
  • Deep knowledge of data mining, machine learning, natural language processing, or information retrieval.
  • Experience processing large amounts of structured and unstructured data, including integrating data from multiple sources.
  • A willingness to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and your experience to get the job done.
  • Good to have Elasticsearch, Splunk, Casandra; Good to have Cluster Compute Technologies Spark, Akka, NoSql DB
  • Good to have Distributed data; Hortonworks toolset, Zookeeper, HDFS
  • To be responsible for providing technical guidance or solutions ;define, advocate, and implement best practices and coding standards for the team.
  • To ensure process compliance in the assigned module, and participate in technical discussion sor review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
  • To develop and guide the team members in enhancing their technical capabilities and increasing productivity
  • To prepare and submit status reports for minimizing exposure and risks on the project or closure of escalations.

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