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Hiring for Big Data

4.00 to 9.00 Years   Pune   08 Nov, 2021
Fractal Analytics
Job LocationPune
EducationNot Mentioned
SalaryNot Disclosed
IndustryKPO / Analytics
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Brief about the Team & Fractal:Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business.Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual storytelling.

  • Our mission is to help companies move towards higher levels of sophisticated and institutionalized use of analytics.
  • Understand, predict and influence consumer behavior
  • Improve marketing, pricing, supply chain, risk and claims management
  • Harmonize data, visualize information, build dashboards and forecast business performance.
StreamFlux is a self-serve data science platform that allows the building of a batch and streaming pipelines in a matter of minutes. It performs data processing such as aggregation, transformations, filtering and enrichment of the data, in the cloud or on-premise. Through its advanced analytics and data science capabilities it offers model training, scoring, monitoring, and validating, thus enabling power users of enterprises such as data engineers, data architects, business analysts, and data scientists to build complex data engineering and machine learning pipeline at ease.Roles & Responsibilities
  • Role Brief:Streamflux team needs hands-on developers who can produce beautiful & functional code to solve complex analytics problems. If you are an exceptional developer with an aptitude to learn and implement using new technologies, and who loves to push the boundaries to solve complex business problems innovatively, then we would like to talk with you.Responsibilities:
    • You would be responsible for evaluating, developing, maintaining and testing big data solutions for advanced analytics projects
    • The role would involve big data pre-processing & reporting workflows including collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into business insights
    • The role would also involve testing various machine learning models on Big Data, and deploying learned models for ongoing scoring and prediction. An appreciation of the mechanics of complex machine learning algorithms would be a strong advantage.
    Qualifications & Experience:4 to 6 years of demonstrable experience designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions.Ideally, this would include work on the following technologies:
    • Expert-level proficiency in at-least one of Java, C++ or Python (preferred). Scala knowledge a strong advantage.
    • Strong understanding and experience in distributed computing frameworks, particularly Apache Hadoop (YARN, MR, HDFS) and associated technologies -- one or more of Hive, Sqoop, Avro, Flume, Oozie, Zookeeper, etc.
    • Hands-on experience with Apache Spark and its components (Streaming, SQL, MLLib) is a strong advantage.
    • Operating knowledge of cloud computing platforms (AWS/Azure ML)
    • Experience working within a Linux computing environment, and use of command line tools including knowledge of shell/Python scripting for automating common tasks
    • Ability to work in a team in an agile setting, familiarity with JIRA and clear understanding of how Git works
    In addition, the ideal candidate would have great problem-solving skills, and the ability & confidence to hack their way out of tight corners.Experience:
Must Have Skills
  • Java / Scala
  • Apache Spark / Structured Streaming /Spark Streaming / Apache Flink
  • Spark ML
  • Experience on deploying solutions at scale on production
  • Apache Kafka
  • Apache Maven / Gradle
  • Strong oops concept / data structures
Good to have
  • AWS / GCP / Azure Cloud.
  • Experience on JHipster is a plus
  • Experience on application deployed on Kubernetes / Docker
  • Airflow
Education
  • B.E/B.Tech in Computer Science or related technical degree
,

Keyskills :
machine learningapache sparkdata processingdata architectsdata scienceproblem solvingcloud computingadvanced analyticstechnological solutionscomputer sciencedata engineeringbig dataproject administrationdata solutionscompetitive advantage

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