Lead Data Architect

4 days ago

Shimoga, Karnataka, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Data Engineer - Data Modeler

Job Overview:

We are seeking an experienced Senior Data Engineer to lead the design, development, and implementation of highly scalable data capture and transformation processes.

The ideal candidate will have a solid understanding of data warehousing principles, architecture, and its implementation in complex environments, as well as experience in OLTP and OLAP systems.

Key Responsibilities:

  • Design and develop highly scalable data capture and transformation processes
  • Suggest best modeling approach to clients based on their requirements and target architecture
  • Analyze and understand datasets and guide teams in creating source-to-target mapping and data dictionaries, capturing all relevant details
  • Profile data sets to generate relevant insights
  • Define data modeling best practices and ensure implementation across projects
  • Optimize data models and work with data engineers to define ingestion logic, ingestion frequency, and data consumption patterns
  • Work with QE teams to define testing strategies
  • Drive automation in modeling activities
  • Closely monitor project progress and provide regular updates to leadership teams on milestones, impediments, etc.

Requirements:

  • 10+ years of experience with hybrid data environments leveraging distributed and relational database technologies for analytics services (Oracle, IMB DB2, GCP)
  • Solid understanding of data warehousing principles, architecture, and implementation in complex environments
  • Good experience in OLTP and OLAP systems
  • Excellent data analysis skills
  • Good understanding of one or more ETL tools and data ingestion frameworks
  • Experience designing complex dimensional data models for analytics services
  • Experience with various testing methodologies and user acceptance testing
  • Experience on one or more cloud platforms (e.g. AWS, Azure, GCP)
  • Understanding of data quality and governance
  • Understanding of industry data models
  • Experience leading large teams
  • Experience processing large datasets from multiple sources
  • Ability to operate effectively and independently in dynamic, fluid environments
  • Good understanding of agile methodology

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