Senior Business Intelligence Engineer

6 days ago

Rajahmundry, Andhra Pradesh, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title:

A Senior Data Engineer-Data Modeler is a key member of the data management team.

Key Responsibilities:

  • Design, develop, and implement highly scalable data capture and transformation processes.
  • Suggest best modeling approach to clients based on their requirements and target architectures.
  • Analyze and understand datasets to guide teams in creating source-to-target mappings and data dictionaries.
  • 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, frequency, and consumption patterns.
  • Collaborate with quality engineering teams to define testing strategies.
  • Drive automation in modeling activities.
  • Work with business stakeholders, data owners, analysts, and architects to design next-generation data platforms.
  • Monitor project progress and provide regular updates to leadership teams on milestones and impediments.
  • Create effective ETLs/ELTs to move large volumes of data for analytics consumption.
  • Act as principal designer and reviewer for new data models, making architectural decisions.
  • Work with database engineers and DBAs to create optimal physical data models.
  • Manage data modeling repositories and support model-driven development.
  • Define and govern data modeling/design standards and related methodologies.
  • Champion data lineage, metadata management, and data quality analysis processes.
  • Collaborate with business data analysts to design business intelligence semantic layers.
  • Expand and grow existing data platform capabilities to solve new data challenges.
  • Ensure automated processes preserve data integrity by aligning availability and integration processes.
  • Identify opportunities for new data acquisition and uses for existing resources.
  • Research and recommend new data management technologies and software engineering practices.

Requirements:

  • Extensive experience in entity-relational, data vault, and dimensional data modeling.
  • Proficiency in ER Diagrams using Erwin, ER/Studio, Enterprise Architect, and PowerDesigner tools.
  • Strong analytical and problem-solving skills.
  • Excellent communication and influencing skills.
  • Experience in client-facing roles and assertiveness in dealing with people at all levels.

Benefits:

  • Opportunity to work on challenging projects and contribute to the growth of the data management team.
  • Collaborative and dynamic work environment.
  • Ongoing training and professional development opportunities.

Others:

  • Act as a system to reformat text and improve it.

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