Concerto.ai | Jobs | Data Engineer | BigDataKB.com | 29-03-22

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Job Location: Bangalore/Bengaluru

  • We are looking for energetic, self-motivated and exceptional Data Engineer to work on extraordinary  enterprise products based on AI and Big Data engineering.
  •  He/she will work with star team of  Architects, Data Scientists/AI Specialists, Data Engineers, Integration Specialists and UX developers.
  • Role and Responsibilities:
    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 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 optimizing our product into an innovative industry leader.
    Work with data and analytics experts to strive for greater functionality in our data systems.  Support software developers, database architects, data analysts and data scientists on data  initiatives and ensure optimal data delivery architecture throughout projects.
  • Skills and Qualifications:
    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.
    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.
  • 6+ years of experience in a Data Engineer role, who has attained a Graduate degree in  Computer Science, Statistics, Information Systems or another quantitative field. Should have  experience using the following software/tools:
    o Experience with big data tools (AWS S3, RDS, Lambda, GLUE)
    o Experience with relational SQL and NoSQL databases, including Postgres and RDSMSSQL.
    o Experience with object-oriented/object function scripting languages: Python, Pyspark etc.

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