Job Description

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Work with business users and stakeholders to define and analyze problems and provide optimal technical solution.
• Translate business requirements to technical specifications.
• Involved in design and architecture of the entire data platform solution.
• Create and maintain design of data ingestion, orchestration, and semantic layer.
• Design data pipeline and data refresh process as per business requirements.
• Present architecture and solutions to executive-level.
• Adhere to industry best-practices in all phases of design and architecture of the solution.

MINIMUM QUALIFICATIONS

• 5 + years of end-to-end design and architecture of enterprise level data warehouse solutions .
• 5+ years of experience in Data analysis, Proficient in data mining and data analytics to derive insights from various datasets.
• Strong python programming skills for data transformations with packages such as numpy and pandas
• 3 + years of experience with Dimensional modeling and data warehouse design methodologies.
• 3+ years of experience with SQL Server, T-SQL, stored procedure development and database optimization.
• 2 + years of experience with Azure data ingestion & preparation, data lake architecture & design.
• 2 + years of experience with readiness, provisioning, security, and best practices with Azure data platform.
• 2 + years of experience with Spark, DataBricks.
• Experience with working with business stakeholders, requirements & use case analysis.
• Strong communication and collaboration skills with creative problem-solving skills.

PREFERRED QUALIFICATIONS

• Bachelor\'s degree in Computer Science or equivalent work experience.
• Experience with Agile/Scrum methodology.
• Experience with tax and accounting domain a plus.

Azure Data Engineer certification a plus.

Wolters Kluwer