Product Software Engineer

Early Applicant

1-2 Years

Job Description

As a Data Engineer, this position will support the building of data pipelines for the Azure cloud data platform
The data engineer will review the existing solution and design a unified solution to transfer the data to data lake and data warehouse
The digital future has arrived and the tax and accounting professions are changing rapidly
Professionals today have different needs, expectations and capabilities
In addition to accuracy, they need greater mobility, simplicity and speed
These needs place a premium on access to active intelligence, agile systems, and integrated workflow solutions in short Best in Process solutions
This is precisely the value that Wolters Kluwer, Tax & Accounting US delivers to professionals
If you enjoy tackling problems that are often elusive and working with software engineers to ensure the highest level of quality
you're not content to know what , you need to know why , and are meticulous in your attention to detail
You take your commitments seriously, and you are organized in your interfaces with the rest of the organization
You have passions equally for technical excellence and seeing your work have an impact

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