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Technical Architect Data Engineering

2.00 to 5.00 Years   Chennai   25 Jul, 2019
FourKites
Job LocationChennai
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Create data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
Experience
  • Deep expertise with Integration Patterns, Data Pipeline management, Data Quality
  • Streamsets, Mulesoft or Qubole
  • Experience building and optimizing big data data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
  • Experience supporting and working with cross-functional teams in a dynamic environment
,

Keyskills :
javanetdeliverydatastructuresstreamprocessingramew

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