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 Data Ops 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 modern 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 Data Ops 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 Data Ops practices, CI/CD, and automated deployments.
Experience with workflow orchestration tools such as Airflow, Oozie, or Jenkins.
Solid analytical, debugging, and problem-solving skills.

📌 Data Engineer Bengaluru
🏢 Recro
📍 Bengaluru