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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Azure Data Engineer (Python, SQL) - **Company:** Artmac Soft LLC - **Location:** Plano, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), BigQuery, Cloud Database, Computer Programming, Data Architecture, Data Validation, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Database Queries, Dimensional Modeling, JSON, Python (Programming Language), SQL Databases, Technical Data Management Systems, Data Ingestion, Azure Data Factory, Sql Optimization, Snowflake, Software Troubleshooting, Google Bigquery, Api Design, Restful APIs, Stream Processing, Data Pipelines, Databricks - **Published:** August 22, 2026 - **Apply:** https://www.careerjet.com/jobad/us7e22812252fcd783fb194afa356eb9b9 ## About the Role * 8+ years of experience in data engineering, cloud data engineering, or related roles. * Strong programming experience with Python. * Advanced SQL skills, including complex queries, joins, CTEs, window functions, optimization, and data transformations. * Strong experience designing and developing ETL/ELT pipelines. * Hands-on experience with cloud-based data engineering platforms. * Experience working with REST APIs, JSON, and API-based data integration. * Experience with relational and cloud databases. * Experience with one or more of: Snowflake, Databricks, Google BigQuery, and Azure Data Factory (ADF). * Strong understanding of data ingestion, transformation, integration, and orchestration. * Strong understanding of data quality, validation, reconciliation, and error handling. * Knowledge of data warehousing concepts, dimensional modeling, and data architecture. * Strong troubleshooting, analytical, and problem-solving skills. * Cloud Data Engineer Certification is preferred. * Design, develop, and maintain scalable ETL/ELT data pipelines for batch and real-time data processing. * Develop robust data engineering solutions using Python and SQL. * Implement data transformation, cleansing, validation, and enrichment processes. * Work with platforms such as Snowflake, Databricks, BigQuery, and Azure Data Factory (ADF)., Bachelor's degree or equivalent combination of education and experience. ## Description * Implement data quality checks, validation rules, monitoring, and exception handling. * Troubleshoot pipeline failures, data issues, performance bottlenecks, and production incidents. * Work with cross-functional teams to translate business requirements into technical data solutions., Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. 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