Superior Jobs

 

Data Engineer

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  • ID: 17011
  • Posted: 7/13/2020
  • Location: Bangalore,
  • Category: Big- Data
  • Job Type: Permanent

Description


  • Create and maintain optimal data pipeline architecture,

  • 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 Business, 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 optimizing our product into an innovative industry leader.

  • Work with data and analytics experts to strive for greater functionality in our data systems.

 
Job Requirements

 

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

  • 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.

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