Data Integration Lead
- Canada
Applications open in a new tab.
Job details
- Posting language
- English
- Posted
Original job description
Hands-on experience with Azure Databricks for data processing, data engineering, or analytics workflows. o Experience in pyspark, ADF, o Python experience o Hands-on experience with SQL, Specialized in modernizing legacy on-premise systems into cloud-native architectures using Azure Data Factory, Databricks and PySpark, resulting in significant gains in pipeline reliability and compute cost-efficiency. A people-focused leader recognized for implementing Medallion Architecture, robust Data Warehousing and CI/CD workflows while mentoring engineering teams to deliver actionable analytics and banking-grade security solution.
More about this job
Responsibilities
The Data Integration Lead at HEXAWARE will design and build cloud data pipelines and analytics workflows on Azure. The role also moves older on-premise systems to the cloud and guides engineering teams.
Requirements
Candidates need hands-on experience with Azure Databricks, PySpark, Azure Data Factory, Python and SQL. Experience with Medallion Architecture, data warehousing, CI/CD and leading or mentoring engineers is also expected.
Skills
- Azure Databricks
- PySpark
- Azure Data Factory
- Python
- SQL
- Data Pipeline Development
- Medallion Architecture
- Data Warehousing
- CI/CD
- Legacy System Modernization
- Cloud-Native Architecture
- Data Integration
- Analytics Workflows
- Team Leadership
- Mentoring
- Pipeline Optimization
- Cost Optimization
- Data Security
Categories
- Technology
- Data & Analytics
- Software
Keywords
- Azure Databricks
- PySpark
- Azure Data Factory
- ADF
- Python
- SQL
- Medallion Architecture
- Data Warehousing
- CI/CD
- Data Engineering
- Data Pipelines
- Cloud Migration
- Legacy Modernization
- Analytics
- Data Integration
- Banking Security
- Team Lead
- Mentoring
Seniority
Lead
Tools
- Azure Databricks
- PySpark
- Azure Data Factory
- Python
- SQL