Product Data Engineer

IND-Pune-IndiQube Orchid

Wolters Kluwer

Wolters Kluwer is a global provider of professional information, software solutions, and services.

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ESSENTIAL DUTIES AND RESPONSIBILITIES

· Participate and collaborate with team members to review the use cases for data pipelines.

· Design and develop highly optimized and reliable enterprise level data pipelines to move data to data warehouse in real-time.

· Review and analyze existing business process, identify any gaps, and recommend improvements.

· Design and develop modern real-time solutions with Scala, Spark, Azure Databricks.

· Partner with business users and data scientists to build and deploy machine learning models.

· Improve data governance and operational excellence.

· Develop data expertise and take ownership of data quality for the newly developed pipelines.

· Adhere to company coding standards and best practices.

· Conduct code reviews and create technical solution document.

MINIMUM QUALIFICATIONS

· 4 years of building data pipelines for structured and un-structured data.

· 1+ years of experience of azure data pipeline development.

· 2 + years of experience with Hadoop, Azure Databricks, Stream Analytics, Eventhub, Kafka.

· 2+ years of experience of relational and dimensional data modeling with SQL Server and data warehouse.

· 2+ years of experience with SQL Server, T-SQL, stored procedure development and database optimization.

· 2+ years of experience with MS BI stack (SSIS/SSRS/SSAS, Power BI).

· 1 + years of experience with Azure data platform (Azure data factory, Azure data lake, Azure SQL DB, Azure DW/Synapse).

· 1 + years of experience with Azure ML, Python, Scala

· 2+ years of experience with big data technologies.

· 2 + years of experience with Power BI, Azure Analysis Services

· 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.

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Tags: Agile Azure Big Data Computer Science Databricks Data governance Data pipelines Data quality Data warehouse Hadoop Kafka Machine Learning ML models Pipelines Power BI Python Scala Scrum Spark SQL SSIS T-SQL

Region: Asia/Pacific
Country: India

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