
Data Modeling Architect
5 days ago
Job Description: -
Requirements:
- 10+ years of experience implementing large data and analytics platforms.
- Data Platform: Experience working in Data warehouse, Data Lake, and Spark Lakehouse environments to support large-scale analytic applications.
- Data Modeling: Extensive experience in designing Star and Snowflake schema models. Proficient in logistics industry operations.
- ETL: Understanding of Medallion architecture and ETL/ELT processes.
- SQL: Expert in SQL with advanced programming abilities, Spark SQL.
- Reporting: Familiarity with PowerBI reporting, Tableau, Cognos
- Programming Languages: Basic experience with any scripting languages such as shell scripting, Python, PySpark.
Responsibilities:
- Data mapping discovery from disparate source systems including mainframe, oracle, sql, cloud, others.
- Develop and implement medallion data architecture in Microsoft Fabric to support analytics platform and data processing requirements.
- Ensure efficient data transformations, optimize data processing and ELT queries.
- Implement robust data validation, cleansing, and standardization to ensure data integrity and data quality.
- Contribute to data governance policies, procedures and tools.
- Attention to detail, strong problem-solving skills, capable of independent work, collaborating with cross-functional stakeholders.
MINIMUM SKILLS AND QUALIFICATION REQUIREMENTS:
- Have 4 years of educational qualification.
- Ability to work outside of normal business hours to complete implementations and resolve issues.
WORKING CONDITIONS: Office environment.
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