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Data Engineer - Centurion - AICA Consultancy

1 month ago

Description
Data Pipeline Development:
• Building efficient ETL/ELT pipelines using Databricks and Delta Lake for structured, semi-structured, and unstructured data.
• Transforming raw data into consumable datasets for analytics and machine learning.
Data Optimization:
• Improving performance by implementing best practices like partitioning, caching, and Delta Lake optimizations.
• Resolving bottlenecks and ensuring scalability.
Data Integration:
• Integrating data from various sources such as APIs, databases, and cloud storage systems (e.g., AWS S3, Azure Data Lake).
Real-Time Streaming:
• Designing and deploying real-time data streaming solutions using Databricks Structured Streaming.
Data Quality and Governance:
• Implementing data validation, schema enforcement, and monitoring to ensure high-quality data delivery.
• Using Unity Catalog to manage metadata, access permissions, and data lineage.
Collaboration and Documentation:
• Collaborating with data analysts, data scientists, and other stakeholders to meet business needs.
• Documenting pipelines, workflows, and technical solutions.
Deliverables:
• Fully functional and documented data pipelines.
• Optimized and scalable data workflows on Databricks.
• Real-time streaming solutions integrated with downstream systems.
• Detailed documentation for implemented solutions and best practices.
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