Lead Azure Data Engineer

Job Title: Data Engineer – Team Lead

Experience Required: 8+ Years

Location: Hyderabad/Ahmedabad

Position Overview

We are seeking an experienced Data Engineer with over 8 years of experience in designing, developing, and optimizing enterprise-scale data solutions. The ideal candidate will lead our data engineering strategy, architect cloud-based data platforms, and mentor engineering teams to deliver scalable and reliable data systems that power business intelligence, AI, and analytics.

Roles & Responsibilities

• Design and implement modern data architectures across cloud and hybrid environments.
• Develop and optimize data pipelines and ETL/ELT processes for high-volume, high-velocity data.
• Lead data platform modernization initiatives using cutting-edge tools and frameworks.
• Define and enforce data governance, security, and compliance standards.
• Partner with Data Science, BI, and Product teams to ensure data availability, accuracy, and performance.
• Provide technical leadership and mentorship to data engineers and developers.
• Implement DevOps/Data Ops practices for automated testing, deployment, and monitoring.
• Continuously evaluate and introduce innovative data technologies that enhance efficiency and scalability.
• Translate business requirements into robust and scalable technical data solutions.
• Support real-time and streaming data architectures for analytics and ML workloads.
• Designing and developing REST APIs / Azure App Services and implementing Azure PaaS solutions.

Required Skills & Qualifications

• Bachelor's or master's in computer science, Engineering, or related field.
• 8+ years in Data Engineering or Data Architecture roles.
• Expertise in Python, SQL, Spark, Kafka, and Airflow.
• Proven experience with cloud platforms (Azure).
• Hands-on experience with Snowflake, Databricks, or Delta Lake.
• Strong understanding of data modelling, governance, and lineage tools.
• Excellent problem-solving, leadership, and communication skills.

Good to Have Skills:

• Azure PaaS, Problem-Solving, REST API Development, EF Core, Leadership, Agile Practices.
• Blazor UI, Azure IPaaS (Azure Integration Services), Design Patterns, and Cloud Security best practices.