Data Modeler
21 hours ago
Experience: ● 10+ years Data Modeling & Design:
● Develop and maintain conceptual, logical, and physical data models that meet the business requirements.● Design and implement data models for data warehouses, data marts, and OLAP systems.● Ensure data models are scalable, maintainable, and optimized for performance.● Collaborate with database administrators to create efficient database structures (tables, indexes, views).
Tools & Technologies:● Utilize data modeling tools such as ERwin, Visio, IBM InfoSphere Data Architect, Oracle SQL Developer Data Modeler, or others.● Work with various database systems, including but not limited to Oracle, SQL Server, MySQL, PostgreSQL, AlloyDB and cloud-based databases like BigQuery, Redshift, or Snowflake.● Stay current with emerging data modeling trends, tools, and technologies to recommend improvements. Collaboration & Consultation:● Work closely with business stakeholders to understand data requirements and translate them into data models.● Act as a liaison between business units and technical teams, ensuring alignment on data architecture strategies.● Provide expertise and guidance on data modeling best practices to development teams and other stakeholders. Data Governance & Quality:● Establish and enforce data modeling standards, guidelines, and best practices.● Ensure data models comply with organizational data governance policies and standards.● Validate data models to ensure accuracy, completeness, and consistency with business requirements.
Documentation & Communication:● Document all aspects of data models, including definitions, relationships, and data flow.● Communicate complex data concepts to non-technical stakeholders in a clear and concise manner.● Provide training and mentoring to junior data modelers and other team members.
Programming Language: Java, Python, Scala, SQL, etc.Cloud: GCP, AWS, Azure Streaming: PubSub or Kafka or equivalentStorage Required: GCS, S3, HDFS / ORC, Parquet, Avro / Delta, Hudi, IcebergETL: Spark or Beam or equivalentAnalysis: BigQuery or Presto or equivalentReporting: Looker or Looker Studio or Tableau or PowerBI or equivalentOrchestration: Airflow or Oozie or equivalentDatabases (SQL) - MySQL, PGSQL, MS SQL ServerDatabases (GCP) - Bigtable, Spanner, Memorystore, CloudSQL, AlloyDB, etc.Databases (NoSQL)- MongoDB, Cassandra, Scylla, Redis, HBase, etc.
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