Senior Data Science Engineer

3 weeks ago


Pune, Maharashtra, India Wolters Kluwer (India) Private Limited Full time
ESSENTIAL DUTIES AND RESPONSIBILITIESWork 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 QUALIFICATIONS5 + 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 pandas3 + 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 QUALIFICATIONSBachelor'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.
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