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Concent Software Solution LLC

Azure Data Engineer

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Job Description

Azure Data Engineer Dallas,TX/Phoenix,AZ locals Only W2 preferred Face to face interview mandatory for Final round Key Responsibilities Design, develop, and maintain scalable data pipelines using Azure Databricks and Python. Build and optimize ETL/ELT workflows for structured and unstructured data. Develop high-performance data processing solutions using Py Spark and Spark SQL. Design and implement data lake architecture leveraging Delta Lake. Create and manage data ingestion frameworks from multiple enterprise sources. Implement data quality, validation, governance, and monitoring mechanisms. Must have hands on experience using Gen AI tools like GitHub CoPilot Optimize Databricks jobs, clusters, notebooks, and workflows for performance and cost efficiency. Collaborate with business analysts, data scientists, architects, and application teams to deliver enterprise data solutions. Support batch and near real-time data processing requirements. Participate in architecture discussions, code reviews, and best-practice implementation. Ensure secure, scalable, and reliable cloud data solutions aligned with organizational standards. Required Technical Skills Primary Skills (Must Have) Azure Databricks Python Py Spark Delta Lake Spark SQL Data Engineering ETL/ELT Development Azure Data Lake Storage (ADLS Gen2) SQL Azure Platform Skills Azure Databricks Azure Data Factory (ADF) Azure Storage Accounts Azure Key Vault Azure Monitor Azure App Insights Azure Networking Concepts Secondary Skills Data Modeling (Star Schema, Snowflake Schema) DataWarehousing Concepts Performance Tuning and Optimization
REST API
Integration NoSQL Databases Azure Synapse Analytics Advanced Python development (building production grade services, APIs, or data platforms) Cloud native development Azure Databricks Strong experience with software design, testing, and CI/CD pipelines PostgreSQL, Kubernetes, Redis, Git, Github Actions, Maven, Junit, Agile.