Senior Business Intelligence Developer

2 days ago

Bareilly, Uttar Pradesh, India beBeeData Full time US$ 1,25,000 - US$ 1,75,000

Job Title: Lead Data Solutions Architect

Experience: 10+ Years

Key Responsibilities:

Data Modeling: Design robust data models to ensure efficient data storage and retrieval.

ETL Processes: Develop and optimize ETL processes to accurately move data from various sources into the data warehouse.

Infrastructure Design: Plan and implement technical infrastructure, including hardware, software, and network components.

Data Governance: Ensure compliance with regulatory standards and implement data governance policies.

Performance Optimisation: Continuously monitor and improve data warehouse performance to handle large volumes of data and complex queries.

Semantic Layer Definition: Define and manage semantic layer architecture and technology stack.

Common Data Layer Management: Integrate data from multiple sources into a centralized repository.

Advanced Analytics: Enable advanced analytics to identify patterns in genomic data, optimize clinical trials, and personalize medication.

Generative AI: Should have worked with production-ready use cases for GenAI-based data and analytics.

Stakeholder Engagement: Work closely with business stakeholders to understand their data needs and translate them into technical solutions.

Required Skills:

  • Proven experience in data architecture and data warehousing.
  • Strong knowledge of data modeling, ETL processes, and infrastructure design.
  • Experience with data governance and regulatory compliance in the life sciences sector.
  • Proficiency in using Axtria DataMax or similar data management products.
  • Excellent analytical and problem-solving skills.
  • Strong communication and collaboration skills.

Preferred Skills:

  • Familiarity with advanced analytics and machine learning techniques.
  • Experience in managing semantic and common data layers.
  • Knowledge of FDA guidelines, HIPAA regulations, and other relevant regulatory standards.
  • Experience with generative AI technologies and their application in data warehousing.

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