Senior Data Science Engineer
IND-Pune-IndiQube Orchid
Wolters Kluwer
Wolters Kluwer is a global provider of professional information, software solutions, and services.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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Azure Computer Science Data analysis Data Analytics Databricks Data Mining Data warehouse NumPy Pandas Python Scrum Security Spark SQL T-SQL
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