- Programming Languages: Proficient in Python, PyTest and PySpark with a strong understanding software engineering best practices.
- Cloud Computing: Utilize Azure cloud-based data platforms, specifically leveraging Databricks and Delta Live Tables for data engineering tasks, while effectively utilizing services related to storage, compute, and security.
- Data Pipelines: Design, build, and maintain robust and scalable and automated data pipelines for batch and streaming data ingestion of data and processing (Data bricks workflow).
- Data Architecture and Modeling: Design and implement robust data models and architectures that align with business requirements and support efficient data processing, analysis, and reporting.
- Orchestration: Utilize workflow orchestration tools to automate data pipeline execution and dependency management.
- Monitoring and Alerting: Integrate monitoring and alerting mechanisms to track pipeline health, identify performance bottlenecks, and proactively address issues.
- Robust Agile principles: Utilize Agile development methodologies, actively participating in sprint planning, daily stand-ups, sprint reviews, and retrospectives. Be flexible and adaptable to changing requirements and priorities throughout the project lifecycle.
📌 Advance Data Engineer (Canada)
🏢 TEKGENCE
📍 Canada
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