Azure Data Architect
2 days ago
ROLES & RESPONSIBILITIES
- Define end-to-end architecture for SAS to PySpark migration.
- Proven experience in data migration projects, specifically migrating from SAS to PySpark
- Lead the architectural design for migration project, leveraging Azure services, SQL, Databricks, and PySpark to create scalable, efficient, and reliable solutions.
- Utilize Databricks to design and implement advanced data transformation and processing tasks using Databricks, PySpark and ADF
- Strong understanding of data integration, ETL, and data warehousing concepts
- Design, deploy, and manage Databricks clusters for data processing, ensuring performance and cost efficiency, and troubleshoot cluster performance issues as needed.
- Mentor and guide developers on the use of PySpark for data transformation and analysis, sharing best practices and reusable code patterns.
- Document architectural designs, migration plans, and best practices to ensure alignment and reusability within the team and across the organization.
- Collaborate with stakeholders to translate business requirements into technical specifications and design robust data pipelines, storage solutions, and transformation workflows.
- Support UAT and production deployment planning.
- Strong communication and collaboration skills
EXPERIENCE
18-21 Years
SKILLS
Primary Skill: Data Engineering
Sub Skill(s): Data Engineering
Additional Skill(s): ETL, databricks, Azure Data Factory, Pyspark
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