Azure Data Engineer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Intellect Quest LLC, is seeking the following. Apply via Dice today! Azure Data Engineer Location: Remote Employment Type: Contract/Full Time Any Visa will work Job Summary We are looking for an experienced Azure Data Engineer with 5 6 years of hands-on experience in designing, building, and maintaining scalable data solutions on Microsoft Azure. The ideal candidate will work closely with data architects, analysts, and business stakeholders to deliver reliable, high-performance data pipelines and analytics platforms. Roles & Responsibilities • Design, develop, and maintain end-to-end data pipelines using Azure services • Build and optimize ETL/ELT processes using Azure Data Factory (ADF) • Implement data storage solutions using Azure Data Lake Storage Gen2, Azure Blob Storage, and Azure SQL • Develop and manage data warehousing solutions using Azure Synapse Analytics • Perform data transformations using Azure Databricks (PySpark / Spark SQL) • Ensure data quality, data validation, and monitoring of pipelines • Optimize performance, cost, and scalability of Azure data solutions • Implement CI/CD pipelines for data engineering workflows using Azure DevOps or GitHub • Work with structured and semi-structured data (CSV, JSON, Parquet, Avro) • Collaborate with BI teams to support reporting tools like Power BI • Implement security, governance, and compliance using Azure RBAC, Key Vault, and data encryption • Troubleshoot production issues and provide operational support Required Skills & Qualifications • 5 6 years of overall experience in Data Engineering / Data Warehousing • Strong experience with Microsoft Azure data services, including: • Azure Data Factory • Azure Data Lake Storage (ADLS Gen2) • Azure Synapse Analytics • Azure Databricks • Strong proficiency in SQL and Python (PySpark preferred) • Experience with data modeling (star/snowflake schema) • Hands-on experience with ETL/ELT frameworks • Experience with CI/CD, version control (Git), and DevOps practices • Good understanding of data security, governance, and compliance • Experience working in Agile/Scrum environments Good to Have • Azure certifications such as DP-203 (Azure Data Engineer Associate) • Experience with Power BI, DAX • Knowledge of Streaming technologies (Azure Event Hubs, Stream Analytics) • Exposure to Azure Purview / Microsoft Purview • Experience with Big Data concepts and performance tuning Soft Skills • Strong analytical and problem-solving skills • Excellent communication and stakeholder management • Ability to work independently and mentor junior engineers