Data Engineer
Accelerated Growth Research & Delivery Center

  • If you are growth-minded and enjoy pushing yourself and learning new skills…
  • If you are bored only executing one task and enjoy managing multiple projects and deadlines…
  • If you enjoy brainstorming process-driven, logical solutions in evolving environments…
  • If you are excited at the prospect of communicating with, learning from, and challenging CEOs and leadership teams…

...then this just might be the position for you!

Available Position :

  • Develop data warehouse models, design specifications, metadata process and documentation
  • Develop detailed ETL specifications based on business and client requirements
  • Work across all phases of the software development lifecycle in a cross-functional, agile development team setting o Design and build ETL jobs in a managed cloud environment (such as AWS, Azure, GCP).
  • Perform SQL-based exploratory analysis using AWS RDS / Athena or similar
  • Build and maintain data pipelines for all internal and client based applications
  • Develop sophisticated queries, calculated fields, and measures within BI and visualization tools
  • Work directly with US based analytics team
     

Qualifications:

  • Bachelor’s degree in Computer Science, Mathematics, or other related technical field
  • 5+ years of direct experience working as a data engineer or similar role
  • Strong experience with AWS, Azure, GCP or similar ecosystems and their associated tools (including Data Pipeline, Glue, Athena, CloudFormation, etc.)
  • Experience developing ETL pipelines using various data warehousing technologies 
  • Experience with BI and data visualization tools/applications (Tableau, Power BI, Lookr, etc.)
  • Familiarity with standard business applications such as CRM (Salesforce), ERP (NetSuite), Marketing (HubSpot), and eCommerce (Shopify, custom)
  • Experience working with accounting and finance data preferred
  • Experience working with US based teams
     

JOB TYPE : FULL TIME

LOCATION : Ahmedabad

Application
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