
Data Architectural Specialist
3 days ago
Key Responsibilities:
- Design and implement scalable, robust, and secure data pipelines using Azure Data Factory, Databricks, Synapse Analytics.
- Develop and maintain ETL/ELT processes for structured and unstructured data.
- Implement Change Data Capture (CDC), streaming pipelines, and batch ingestion.
Key Skills:
- Hands-on with Azure Data Factory, Azure Data Lake Gen2, Databricks, Synapse, Purview.
- Proficiency in SQL, PySpark, Python, and data orchestration tools.
- Strong understanding of data architecture patterns – Lakehouse, medallion, delta architecture.
Technical Requirements:
- 4+ years in data engineering with at least 2+ years on Azure cloud platform.
- Proficiency in GitOps for data.
- Working knowledge of data observability, lineage, cataloguing, data quality.
Personal Attributes:
- Consultative.
- Decisive and action-oriented.
- Eager to learn.
Benefits:
- Opportunity to work on large-scale data engineering projects.
- Collaborative team environment.
- Professional growth and development opportunities.
How to Apply:
Mentor junior data engineers and contribute to technical best practices.
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