About the job
- Responsibilities:
- Data Architecture Design: Design and develop scalable, efficient, and robust data architecture solutions to support data storage, processing, and retrieval requirements
- .Data Pipeline Development: Build and maintain data pipelines to efficiently extract, transform, and load (ETL) data from various sources into the data warehouse or data lake.Data Integration: Integrate data from multiple systems, databases, and APIs, ensuring data consistency, accuracy, and quality.Data
- Transformation and Cleansing: Perform data transformation, cleansing, and validation to ensure data integrity and conformity with defined business rules and standards.
- Data Modeling: Design and implement data models that meet the analytical and reporting needs of the organization, including dimensional modeling, star schemas, and data marts.
- Data Warehousing: Design and manage data warehousing solutions, including schema design, indexing, partitioning, and performance optimization.Data Governance and Security
- : Implement data governance practices and ensure data security and privacy standards are upheld throughout the data lifecycle.
- Performance Optimization: Identify and optimize performance bottlenecks in data processing and storage, including query optimization, indexing, and data partitioning.Data Monitoring and Maintenance:
- Monitor data pipelines, data quality, and system performance, and proactively address any issues or anomalies
- .Documentation: Create and maintain technical documentation, including data flow diagrams, system architecture, and data dictionaries
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