| Senior Azure Data Engineer (Data Modeling & ETL | ELT Specialist) 13-15Years Location || Durham, PA at Durham, New York, USA |
| Email: sunita.rani@scalable-systems.com |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3277976&uid=443ba3333dc24906825ec5864dad505e From: Sunita Rani, Scalable systems sunita.rani@scalable-systems.com Reply to: sunita.rani@scalable-systems.com Senior Azure Data Engineer (Data Modeling & ETL/ELT Specialist) Location || Durham, PA Contract position 12 month Years of experience Required || 13-15 Years Rate || $80/hr on c2c GBaMS ReqID: 10679825 Any Special Requests : Important Skill-Set, Technologies, Certifications, and Methodologies: Azure Data Factory (ADF), Azure Databricks, Apache Spark, Azure Data Lake Storage Gen2 (ADLS Gen2), ETL/ELT Pipelines, Data Modeling (Conceptual, Logical, Physical), Dimensional Modeling, Fact & Dimension Tables, SQL/NoSQL, Data Governance, Data Quality & Validation, Metadata Management, Data Lineage, Cloud Data Architecture, Performance Optimization, Incremental Data Loads About the Role: We are seeking a highly experienced Senior Azure Data Engineer to design, build, and optimize scalable data solutions. The role focuses on data modeling, cloud-based ETL/ELT pipeline development, and ensuring high standards of data quality, governance, and performance across enterprise data platforms. Key Responsibilities: Design and maintain conceptual, logical, and physical data models Develop dimensional models, including Fact and Dimension tables aligned with business requirements Build and manage end-to-end ETL/ELT pipelines using Azure Data Factory Develop and optimize data workflows using Azure Databricks and Apache Spark Ingest data from diverse sources (SQL/NoSQL databases, APIs, flat files, cloud storage) Implement incremental loads, logging, monitoring, and error handling Optimize data processing for performance, scalability, and cost efficiency Manage data storage in Azure Data Lake (ADLS Gen2) Collaborate with architects on data platform architecture and design Enforce data governance, security, and compliance standards Implement data quality checks, validation rules, and reconciliation processes Support metadata management and data lineage documentation Essential Skills: Strong expertise in Azure Data Factory, Azure Databricks, and Apache Spark Advanced knowledge of data modeling and dimensional modeling techniques Experience with ETL/ELT pipeline design and optimization Proficiency in SQL and NoSQL data sources Hands-on experience with Azure Data Lake Storage (ADLS Gen2) Strong understanding of data governance, data quality, and compliance Desirable Skills: Experience with cloud data architecture design Knowledge of metadata management and data lineage tools Exposure to performance tuning and cost optimization strategies in cloud environments Keywords in your resume: Azure Data Factory, Azure Databricks, Apache Spark, ADLS Gen2, Data Modeling, Dimensional Modeling, ETL, ELT, Fact Tables, Dimension Tables, SQL, NoSQL, Data Governance, Data Quality, Metadata Management, Data Lineage, Cloud Data Engineering, Performance Optimization, Incremental Loads Keywords: Pennsylvania Senior Azure Data Engineer (Data Modeling & ETL | ELT Specialist) 13-15Years Location || Durham, PA sunita.rani@scalable-systems.com http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3277976&uid=443ba3333dc24906825ec5864dad505e |
| sunita.rani@scalable-systems.com View All |
| 03:02 PM 08-Apr-26 |