Senior Business Intelligence Developer

2 days ago

Thoothukudi, Tamil Nadu, India beBeeDataModeler Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title

We are seeking a highly skilled Data Modeler to join our team. As a Senior Data Engineer - Data Modeler, you will play a key role in designing and implementing data capture and transformation processes.

  • Data Modeling 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 the team in creating source to target mapping 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, ingestion frequency, and data consumption patterns.
    • Work with quality engineering teams to define testing strategies.
    • Drive automation in modeling activities.
    • Collaborate with business stakeholders, data owners, business analysts, and architects to design and develop next-generation data platforms.
    • Monitor project progress and provide regular updates to leadership teams on milestones, impediments, etc.
    • Create effective ETLs/ELTs to move large volumes of data from various operational systems to dimensional data models for analytics consumption.
    • Act as principal designer and reviewer for new data models, making architectural decisions.
    • Work with database engineering and DBAs to create optimal physical data models.
    • Manage data modeling repositories and support model-driven development.
    • Define and govern data modeling/design standards, tools, and best practices.
    • Champion data lineage, metadata management, and data quality analysis processes.
    • Collaborate with business data analysts to design and model business intelligence semantic layers.
    • Expand and grow existing platform capabilities to solve new data problems and challenges.
    • Ensure all automated processes preserve data integrity by managing alignment of data availability and integration processes.
    • Identify opportunities for new data acquisition and new uses for existing data resources.
    • Research and make recommendations for new data management technologies and software engineering practices.
    • Collaborate on decisions around tool usage and best practices.
    • Define data retention policies, establish data governance best practices, and create anomaly detection services.
    • Document and update business continuity procedures.
  • Required Skills and Qualifications
    • Excellent communication, influencing, and facilitation skills.
    • Experience in client-facing roles.
    • Assertiveness in dealing with people at all levels.
  • Benefits
    • Opportunities for growth and professional development.
    • Collaborative and dynamic work environment.
    • Competitive compensation and benefits package.
  • Others
    • Excellent problem-solving and troubleshooting skills.
    • Ability to work in a fast-paced environment.
    • Strong technical skills in data modeling and related areas.

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