HomeIntegreon | Jobs | Data Engineer | BigDataKB.com | 02-04-22
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Integreon | Jobs | Data Engineer | BigDataKB.com | 02-04-22

Job Location: Delhi / NCR

The role will be part of an offshore research and analytics team working for a global investment banking client. The team provides evidence-based research and analytics to client equity analysts to inform investment debates.

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As a Data Engineer, you will be expected to:

  • Interact with clients to understand their business objectives and existing data architecture, and accordingly devise sustainable and automated solutions to expedite data collection, storage/integration, quality assurance, accessibility and analysis
  • Use a variety of technical skills and tools to produce ready-to-use forms to support clients data needs
  • Deal with multiple types of datasets, yet provide structured approaches that can be leveraged across projects and answer clients objectives
  • Focus on continuous efficiency improvements via automation of, but not limited to, web scraping robots, data quality check scripts, and analysis codes

Background:

  • Graduate with an Engineering degree (preferably Computer Science) or a degree in Statistics/Math with advanced experience in coding or equivalent
    • Post-graduation preferred, but not essential
  • 5-8 years of relevant experience as a software developer, data engineer or data scientist with a track record of manipulating, processing and extracting value from large datasets
  • At least 2-3 years of experience in dealing with international clients, and driving a data engineering and analytics solution from business needs identification to conceptualization to development to continuous improvement
    • Experience working with or for an investment bank is a plus

Skills Needed:

  • Extensive experience of working with and creating data architectures, and in dealing with both structured and unstructured datasets
  • Extensive experience of creating automated solutions for data accessibility and analytics, and process efficiencies
  • Well versed with creating systematic or programmatic data quality checks
  • Well versed with programming in Python/R and SQL
  • Familiar with web scraping
  • Familiar with statistical models and data mining algorithms
  • Experience working in an Agile environment and the use of JIRA a plus
  • Experience of handling ETL tools and BI dashboards such as QlikView/Tableau a plus
  • Experience of handling Hadoop data lakes a plus
  • Excellent written and verbal communication for extensive client engagement

Role and Responsibilities:

  • Understanding client objective and managing client expectations across all projects in a multi-shore team model
  • Working with client and/or offshore teams to create algorithms for (1) data collection, (2) data storage, (3) data quality checks, (4) data accessibility, and (5) preferably data analytics
  • Independently working with client to scope and deliver on projects, or as part of larger team, as required
  • Align requirements on different work streams and tasks assigned by the client, as part of a larger team
  • Independently lead or contribute to client calls
  • Assist other client/internal teams, based on specific skill/insights requirements
  • Independently conceptualize, organize and conduct skill-based internal training sessions (Python, data engineering, automation, statistical analysis, etc.) to cultivate an internal culture of efficiency improvements and faster and more robust execution

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