Senior Data Modeler

4 weeks ago

Vancouver, British Columbia, Canada Benevity Full time
About Benevity

Benevity is a leading provider of corporate social responsibility and employee engagement solutions. Our mission is to empower companies to make a positive impact on the world by leveraging technology and data-driven insights.

Job Description

We are seeking a highly skilled Senior Data Modeler to join our team. As a Senior Data Modeler, you will be responsible for designing, implementing, and maintaining complex data models that support our business operations and analytics.

Key Responsibilities
  • Design and develop logical and physical data models to meet the needs of various business applications
  • Ensure data models are aligned with business requirements and best practices
  • Create and maintain data dictionaries and metadata repositories
  • Design and optimize database structures to support high-performance and scalability
  • Collaborate with database administrators to ensure optimal performance of data models
  • Implement indexing, partitioning, and other database optimization techniques
  • Work closely with data architects, data engineers, and business analysts to integrate data from various sources
  • Define data integration standards and practices. Ensure data consistency, quality, and integrity across different systems
  • Collaborate with cross-functional teams to understand business requirements and translate them into effective data models
  • Document data models, data flows, and business rules
  • Ensure compliance with data governance policies and industry regulations
  • Conduct regular audits and reviews of data models and databases to ensure compliance and optimal performance
  • Identify opportunities for process improvements and implement solutions to enhance data modeling practices
Requirements
  • Degree in Computer Science or equivalent professional experience
  • 10 years of experience in data modeling, database design, and data management
  • 10 years of experience in data engineering, with a focus on data architecture, ETL processes, and big data technologies
  • 10 years of hands-on experience with designing and deploying enterprise data warehouse models
  • 5+ years' experience with proficiency in programming languages such as Python, Java, SQL
  • Hands-on experience working with data warehousing technologies (BigQuery, Redshift, Snowflake)
  • Strong understanding of database management systems (SQL and NoSQL)
  • Expertise in big data technologies like Hadoop, Spark, DBT, Airflow, Apache Beam, Kafka, etc.
  • Experience with cloud-based platforms and building data engineering solutions (AWS, Azure or GCP)
  • Provide architectural guidance and big data engineering expertise for use cases that require capabilities in Federated Queries, Data Ingestion and Distributed Computing
  • Excellent problem-solving skills and attention to detail
  • Hands-on experience with writing and optimizing SQL-based code
  • Experience with database performance optimization and tuning
  • Familiarity with Continuous Integration/Continuous Deployment (CI/CD) Pipelines (e.g., Jenkins, GitLab CI/CD, AWS CodePipeline, GCP Cloud Build)
  • A strength in pragmatically designing, building and deploying scalable, highly-available systems
  • An ability to think abstractly and are comfortable with ambiguous/undefined problems
  • Excellent communication skills: you understand user needs and have the ability to translate them into actionable pieces of work
Preferred Qualifications
  • GCP Professional Data Engineering certification
  • AWS Data Engineer certification
  • Azure Data Engineer certification
  • Experience with DBT, Databricks, Snowflakes, GCP/Azure/AWS

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