What are the responsibilities and job description for the Data Engineer position at Infinite Computer Solutions?
Role: Data Engineer Demand
Location: Orlando, FL
Required Qualifications
Platform & Technology:
Microsoft Fabric Experience (primary Platform)
Lakehouse architecture and implementation
Spark Notebooks development
Schema design and management
File and folder structure management
Access permissions and security
Alternative Platform Experience (acceptable)
Databricks lakehouse engineering, OR
Core Technical Skills
Other lakehouse platforms with transferable skills
Spark Or PySpark Programming Experience (essential)
Data pipeline development and orchestration
Working with multi-source data integration (experience with 10 source systems preferred)
Understanding of lakehouse file structures and data organization
Data engineering best practices for large-scale data platforms
Nice To Have
Understanding of customer interaction data and dimensional modeling concepts
Experience with customer data platforms or Customer 360 initiatives (nice to have)
Responsibilities
Develop and maintain data pipelines in Microsoft Fabric lakehouse environment
Write and optimize Spark notebooks for data processing and transformation
Manage lakehouse schemas, file structures, and data organization
Integrate data from multiple source systems into the Customer 360 platform
Collaborate with cross-functional teams across HR, enterprise, and operations domains
Ensure data quality, security, and access controls are properly implemented
Support ongoing technical operations for the Customer 360 initiative
Location: Orlando, FL
Required Qualifications
Platform & Technology:
Microsoft Fabric Experience (primary Platform)
Lakehouse architecture and implementation
Spark Notebooks development
Schema design and management
File and folder structure management
Access permissions and security
Alternative Platform Experience (acceptable)
Databricks lakehouse engineering, OR
Core Technical Skills
Other lakehouse platforms with transferable skills
Spark Or PySpark Programming Experience (essential)
Data pipeline development and orchestration
Working with multi-source data integration (experience with 10 source systems preferred)
Understanding of lakehouse file structures and data organization
Data engineering best practices for large-scale data platforms
Nice To Have
Understanding of customer interaction data and dimensional modeling concepts
Experience with customer data platforms or Customer 360 initiatives (nice to have)
Responsibilities
Develop and maintain data pipelines in Microsoft Fabric lakehouse environment
Write and optimize Spark notebooks for data processing and transformation
Manage lakehouse schemas, file structures, and data organization
Integrate data from multiple source systems into the Customer 360 platform
Collaborate with cross-functional teams across HR, enterprise, and operations domains
Ensure data quality, security, and access controls are properly implemented
Support ongoing technical operations for the Customer 360 initiative