Data Engineer creating clean, reliable data pipelines for Plenti, a fintech lender. Collaborating with modern tools like AWS and Databricks to enhance data quality and analytics.
About the role
- Data Engineer designing and building data platforms at Kyndryl. Transforming raw data into actionable insights with a focus on Azure technologies.
Responsibilities
- Engineering the backbone of our data infrastructure
- Ensuring the availability of pristine, refined data sets
- Crafting and shaping data platforms
- Transforming raw data into actionable insights
- Architecting data pipelines to cleanse, normalize, and transform data
- Scrutinizing data solutions to align with business and technical requirements
Requirements
- 6 + years of experience into Azure
- Azure Data Services: Synapse Analytics, Data Factory, Data Lake Gen2, Azure SQL, Microsoft Fabric
- Business Intelligence: Power BI (DAX, Data Modeling, Paginated Reports, Power BI Service)
- Integration: Data ingestion from Dynamics 365, Dataverse, and on-prem systems
- Programming & ETL: SQL, Python, or PySpark for data transformation and pipeline development
- Data Governance: Azure Purview or Fabric governance features
- Version Control & CI/CD: Git, DevOps pipelines for data deployments
- Understanding of Dynamics 365 Functional Areas: Sales, Finance, Operations, or Customer Service
Benefits
- Health insurance
- 401(k) matching
- Professional development opportunities
- Flexible working hours
- Opportunities for certifications
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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