Job Description
Job Summary:
We are seeking an experienced and hands-on Data Lead with deep expertise in Microsoft Azure Data Analytics ecosystem. The ideal candidate will lead the design, development, and implementation of scalable data pipelines and analytics solutions using Azure Data Factory (ADF), Synapse Analytics, Microsoft Fabric, Apache Spark, and modern data modeling techniques. A strong grasp of CDC mechanisms, performance tuning, and cloud-native architecture is essential.
Key Responsibilities:
• Lead the architecture and implementation of scalable data integration and analytics solutions in Azure.
• Design and build end-to-end data pipelines using ADF, Azure Synapse Analytics, Azure Data Lake, and Microsoft Fabric.
• Implement and manage large-scale data processing using Apache Spark within Synapse or Fabric.
• Develop and maintain data models using Star and Snowflake schema for optimal reporting and analytics performance.
• Implement Change Data Capture (CDC) strategies to ensure near real-time or incremental data processing.
• Collaborate with stakeholders to translate business requirements into technical data solutions.
• Manage and mentor a team of data engineers and analysts.
• Monitor, troubleshoot, and optimize performance of data workflows and queries.
• Ensure best practices in data governance, security, lineage, and documentation.
• Stay updated with the latest developments in the Azure data ecosystem and recommend enhancements.
Required Skills and Qualifications:
• 8–10 years of overall experience in data engineering and analytics, with at least 3+ years in a data lead role.
• Strong expertise in Azure Data Factory, Azure Synapse, and Microsoft Fabric.
• Hands-on experience with Apache Spark for large-scale data processing.
• Proficient in SQL, Python, or PySpark for data transformation and automation.
• Solid experience with CDC patterns (e.g., using ADF, or SQL-based approaches).
• In-depth understanding of data warehousing concepts and data modeling (Star, Snowflake).
• Knowledge of Power BI integration with Synapse/Fabric is a plus.
• Familiarity with DevOps for data pipelines, version control (Git), and CI/CD for data solutions.
• Strong problem-solving skills and ability to lead architecture discussions and POCs.
• Excellent communication and stakeholder management skills.
Preferred Qualifications:
• Microsoft Certifications in Azure Data Engineering or Analytics.
• Experience with Delta Lake, Databricks, or Snowflake (as source/target).
• Knowledge of data privacy and compliance standards like GDPR, HIPAA.
What We Offer:
• Opportunity to lead strategic data initiatives on the latest Azure stack.
• A dynamic and collaborative work environment.
• Access to continuous learning, certifications, and upskilling programs.
• Competitive compensation and benefits package.
We are seeking an experienced and hands-on Data Lead with deep expertise in Microsoft Azure Data Analytics ecosystem. The ideal candidate will lead the design, development, and implementation of scalable data pipelines and analytics solutions using Azure Data Factory (ADF), Synapse Analytics, Microsoft Fabric, Apache Spark, and modern data modeling techniques. A strong grasp of CDC mechanisms, performance tuning, and cloud-native architecture is essential.
Key Responsibilities:
• Lead the architecture and implementation of scalable data integration and analytics solutions in Azure.
• Design and build end-to-end data pipelines using ADF, Azure Synapse Analytics, Azure Data Lake, and Microsoft Fabric.
• Implement and manage large-scale data processing using Apache Spark within Synapse or Fabric.
• Develop and maintain data models using Star and Snowflake schema for optimal reporting and analytics performance.
• Implement Change Data Capture (CDC) strategies to ensure near real-time or incremental data processing.
• Collaborate with stakeholders to translate business requirements into technical data solutions.
• Manage and mentor a team of data engineers and analysts.
• Monitor, troubleshoot, and optimize performance of data workflows and queries.
• Ensure best practices in data governance, security, lineage, and documentation.
• Stay updated with the latest developments in the Azure data ecosystem and recommend enhancements.
Required Skills and Qualifications:
• 8–10 years of overall experience in data engineering and analytics, with at least 3+ years in a data lead role.
• Strong expertise in Azure Data Factory, Azure Synapse, and Microsoft Fabric.
• Hands-on experience with Apache Spark for large-scale data processing.
• Proficient in SQL, Python, or PySpark for data transformation and automation.
• Solid experience with CDC patterns (e.g., using ADF, or SQL-based approaches).
• In-depth understanding of data warehousing concepts and data modeling (Star, Snowflake).
• Knowledge of Power BI integration with Synapse/Fabric is a plus.
• Familiarity with DevOps for data pipelines, version control (Git), and CI/CD for data solutions.
• Strong problem-solving skills and ability to lead architecture discussions and POCs.
• Excellent communication and stakeholder management skills.
Preferred Qualifications:
• Microsoft Certifications in Azure Data Engineering or Analytics.
• Experience with Delta Lake, Databricks, or Snowflake (as source/target).
• Knowledge of data privacy and compliance standards like GDPR, HIPAA.
What We Offer:
• Opportunity to lead strategic data initiatives on the latest Azure stack.
• A dynamic and collaborative work environment.
• Access to continuous learning, certifications, and upskilling programs.
• Competitive compensation and benefits package.
💡 Quick Summary
Seeking a career-building opportunity? The Senior Azure Data Engineer position is now open for candidates interested in the Software Developer Jobs sector. This role in Delhi offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.
