Senior Data Engineer

About Us Roxonn connects businesses with GitHub contributors through blockchain, eliminating 20-30% intermediary fees. Our ROXN token on XDC Network enables transparent payments, reducing business costs by up to 60% while ensuring fair compensation for developers globally. Our AI verification system maintains quality while democratizing software development. Job Description This is a remote position. Job Description – Senior Data Engineer Role Overview We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and data platforms. The ideal candidate will have strong expertise in big data technologies, cloud-based data engineering, and modern data lakehouse architectures. Key Responsibilities Design, develop, and maintain scalable data pipelines using PySpark and Databricks Build and manage data ingestion and orchestration workflows using Azure Data Factory (ADF) Perform complex data transformations and optimization using SQL and PySpark Implement and manage Delta Lake for reliable, high-performance data storage Develop and maintain data models (fact and dimension tables) for analytics and reporting Handle large-scale data processing, ensuring performance, scalability, and reliability Collaborate with cross-functional teams including data analysts, data scientists, and business stakeholders Ensure data quality, consistency, and governance across pipelines Required Skills Strong experience in PySpark and Databricks Hands-on experience with Azure Data Factory (ADF) Proficiency in SQL and data transformation techniques Experience with Delta Lake and Lakehouse architecture Good understanding of data modeling (fact/dimension design) Experience handling large-scale data processing Requirements Preferred Qualifications (Nice to Have) Experience with streaming frameworks (Kafka / Structured Streaming) Knowledge of Azure ecosystem (ADLS, Key Vault, Synapse) Familiarity with data governance and security practices Experience in performance tuning and optimization in Spark