
Data Modeler
2 weeks ago
Responsibilities:
- Design and implement data models to support business requirements, ensuring consistency and integration across various data sources.
- Develop and maintain conceptual, logical, and physical data models, optimizing them for performance, scalability, and ease of use.
- Collaborate with stakeholders to identify data requirements and translate them into technical specifications.
- Ensure data models align with the organization's data architecture and data governance standards.
- Design and implement data integration processes using ETL (extract, transform, load) tools and technologies, ensuring data quality and completeness.
- Work with database administrators to ensure database designs support business needs and are optimized for performance.
- Maintain and update data dictionaries, metadata repositories, and data modeling documentation.
- Troubleshoot and resolve issues related to data quality, integration, and model design.
- Provide guidance and mentorship to junior team members as needed.
- Stay current with industry best practices and emerging trends in data modeling and data architecture.
Requirements:
- 2-4 years of experience in developing data pipelines and solutions using Azure Data Factory (ADF), Azure Synapse Analytics, and Databricks
- Strong proficiency in SQL, T-SQL, and familiarity with Azure SQL Database and/or Azure Synapse Analytics SQL pools
- Experience with ADF pipeline orchestration and data ingestion from various sources such as databases, APIs, and file systems
- Knowledge of Spark and Databricks for data processing, transformations, and data analytics
- Familiarity with data modeling and schema design in Azure Synapse and Azure SQL Databases
- Understanding of data integration, data warehousing, and ETL concepts
- Proficiency in Azure cloud services and infrastructure, particularly related to data processing and analytics
- Strong problem-solving and troubleshooting skills.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 4-7 years of experience in data modeling, data architecture, or related areas.
- Proficiency in data modeling tools such as ER/Studio, Erwin, or similar.
- Strong understanding of relational databases, data warehousing concepts, and SQL.
- Experience with big data technologies and platforms (Hadoop, Spark, NoSQL databases) is a plus.
- Strong analytical, problem-solving, and communication skills.
- Ability to work collaboratively in a team environment and with cross-functional stakeholders.
- Experience in Agile/Scrum development environments is advantageous.
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