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Job Description : We are hiring for the role of Team Lead Azure Data Engineer. Location - Hyderabad/Ahmedabad. Work Mode - Hybrid. Exp - 5+ Years. Interview Mode - Face to Face. 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 : - Bachelors or masters 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 (AWS, Azure, or GCP). - 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. Job Description : We are hiring for the role of Team Lead Azure Data Engineer. Location - Hyderabad/Ahmedabad. Work Mode - Hybrid. Exp - 5+ Years. Interview Mode - Face to Face. 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 : - Bachelors or masters 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 (AWS, Azure, or GCP). - 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.
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