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Job Location: Poona, Maharashtra, The Great Bharat
Job Detail:
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
- Must have 2 + years of experience with Azure Databricks hands on developing including production level deployment.
- Must have 2 + years of experience with Azure data platform (Azure data factory, Azure data lake, Azure SQL DB, Azure DW/Synapse).
Additional Qualifications
- 3+ years of experience of relational and dimensional data modeling with SQL Server and data warehouse.
- 3+ years of building data pipelines for structured and un-structured data.
- 2+ years of Stream Analytics, Eventhub, Kafka.
- 3+ years of experience with SQL Server, T-SQL, stored procedure development and database optimization.
- 3+ years of experience with MS BI stack (SSIS/SSRS/SSAS, Power BI).
- 2 + years of experience with Azure ML, Python, Scala
- 3+ 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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