Role:
Azure Data Engineer Experience:
5+ Years Location:
Bengaluru (Work from Office)
About the Role We are looking for a highly skilled Azure
Data Engineer
to design, build, and optimize scalable enterprise data platforms and up-to-date data pipelines. You'll work with big data technologies, cloud platforms, distributed computing, and DataOps practices to build reliable, high-performance data solutions that power analytics, AI, and business decision-making across the organization.
Key Responsibilities Design, build, and maintain scalable data pipelines and up-to-date data platforms using Hadoop or cloud technologies. Develop and optimize end-to-end ETL/ELT workflows for structured and unstructured datasets. Build reliable, scalable, and high-performance data architectures. Drive DataOps best practices through automation, testing, monitoring, and deployment. Implement CI/CD pipelines, data governance standards, and production-grade monitoring. Collaborate with Enterprise Architecture, analytics, and cross-functional engineering teams.
Design and maintain dimensional data models for reporting and business intelligence. Develop highly optimized SQL queries for large-scale data processing. Build scalable data processing solutions using Python, PySpark, and distributed computing frameworks. Continuously improve platform performance, reliability, scalability, and deployment efficiency.
Required Skills 4+ years of Data Engineering experience. Solid expertise in Hadoop or cloud-based data platforms. Hands-on experience with Python and/or PySpark. Advanced SQL skills for large-scale data processing. Experience building ETL/ELT pipelines. Knowledge of distributed computing frameworks. Strong understanding of Data Modeling, Data Warehousing, and Data Governance. Experience with DataOps practices, CI/CD, and automated deployments. Experience with workflow orchestration tools such as Airflow, Oozie, or Jenkins. Strong analytical, debugging, and problem-solving skills.
📌 Data Engineer Mumbai (India)
🏢 Recro
📍 India