Posted:3 weeks ago|
Platform:
On-site
Full Time
To design, build, and optimize scalable data pipelines and solutions using Azure Databricks and related technologies, to make faster, data-driven decisions as part of its data transformation journey.
Proficiency in data integration techniques, ETL processes and data pipeline architectures. Well versed in Data Quality rules, principles and implementation.
Data Pipeline Development: Design and implement robust batch and streaming data pipelines using Azure Databricks and Spark.
Data Architecture Implementation: Apply Medallion Architecture to structure data layers (raw, enriched, curated).
Data Quality & Governance: Ensure data accuracy, consistency, and governance using tools like Azure Purview and Unity Catalog.
Performance Optimization: Optimize Spark jobs, Delta Lake tables, and SQL queries for efficiency and cost-effectiveness.
Collaboration & Delivery: Work closely with analysts, architects, and business teams to deliver end-to-end data solutions.
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