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TITLE - DATA DEVELOPER
TERM: 1 YEAR (POSSIBILITY OF EXTENSION)
LOCATION: CHARLOTTE (HYBRID) (LOCAL ONLY)
EXPERIENCE: 5-7 YEARS
Summary: Develops scripts, processes, and tools to ingest, transform, and deliver data in a MS Fabric environment to support analytics and reporting needs.
Lakehouse Architecture & Platform Engineering
- Design, build, and maintain scalable lakehouse architecture in Microsoft Fabric and OneLake
- Ensure high availability, reliability, and performance of data platforms
Data Pipelines & Ingestion
- Build and maintain end-to-end data pipelines for ingestion, transformation, and serving
- Develop scalable ingestion frameworks for batch and real-time sources (APIs, databases, event streams)
- Integrate enterprise systems (Jira, ERP, CRM, flat files, streaming sources)
Data Processing & Transformation
- Develop and execute large-scale Spark jobs (batch and streaming)
- Author and maintain notebooks (PySpark, SQL) for transformation and analysis
- Implement data cleansing, enrichment, and transformation logic
Data Quality & Integration
- Build ingestion logic for structured, semi-structured, and unstructured data
- Implement data validation and quality controls
Data Enablement
- Deliver analytics-ready datasets for Power BI and downstream consumption
Skill Requirements
- Microsoft Fabric (Lakehouse, OneLake, Pipelines, Notebooks)
- Apache Spark (PySpark, Spark SQL)
- SQL
- Python
- Delta Lake / Delta Tables
- Data Pipeline Design (ETL / ELT)
- API & Streaming Data Integration
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