Modern Data Warehouse Developer

As a Data Engineering at WaferWire Technology Solutions (WCT), you will be responsible for the following: Role Overview: WCT specializes in delivering Cloud, Data, and AI solutions using Microsoft's technology stack. The company excels in Strategic Consulting, Data/AI Estate Modernization, and Cloud Adoption Strategy, focusing on Solution Design, Infrastructure Planning, and Operational Readiness services. Key Responsibilities: - Strong Python skills for ETL/ELT processes using libraries like requests, pandas, pyarrow, and managing configurations. - Proficiency in API ingestion patterns including OAuth/keys, pagination, delta tokens, and file ingestion with CSV/JSON/Parquet handling. - Experience with Microsoft Fabric Warehouse for data loading, SQL/T-SQL for warehouse DDL/DML, loading strategies, and validation queries. - Understanding of Data Warehouse Architecture with dimensional modeling, data lifecycle layers, and scalability concepts. - Observability and Reliability by monitoring job metrics, data quality checks, and CI/CD best practices. Qualifications Required: - 35+ years of experience in building data pipelines and data warehouse solutions with strong SQL and Python skills. - Hands-on experience with analytics platforms and familiarity with broader Fabric ecosystem and Azure data certifications is a plus. - Good to have experience with Spark/PySpark for large-scale transformations. WaferWire Technology Solutions is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will be considered without discrimination based on various characteristics as outlined by applicable laws and regulations. As a Data Engineering at WaferWire Technology Solutions (WCT), you will be responsible for the following: Role Overview: WCT specializes in delivering Cloud, Data, and AI solutions using Microsoft's technology stack. The company excels in Strategic Consulting, Data/AI Estate Modernization, and Cloud Adoption Strategy, focusing on Solution Design, Infrastructure Planning, and Operational Readiness services. Key Responsibilities: - Strong Python skills for ETL/ELT processes using libraries like requests, pandas, pyarrow, and managing configurations. - Proficiency in API ingestion patterns including OAuth/keys, pagination, delta tokens, and file ingestion with CSV/JSON/Parquet handling. - Experience with Microsoft Fabric Warehouse for data loading, SQL/T-SQL for warehouse DDL/DML, loading strategies, and validation queries. - Understanding of Data Warehouse Architecture with dimensional modeling, data lifecycle layers, and scalability concepts. - Observability and Reliability by monitoring job metrics, data quality checks, and CI/CD best practices. Qualifications Required: - 35+ years of experience in building data pipelines and data warehouse solutions with strong SQL and Python skills. - Hands-on experience with analytics platforms and familiarity with broader Fabric ecosystem and Azure data certifications is a plus. - Good to have experience with Spark/PySpark for large-scale transformations. WaferWire Technology Solutions is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will be considered without discrimination based on various characteristics as outlined by applicable laws and regulations.