Roles and Responsibilities:
Data Pipeline and Analytics Development:
Design, implement, and manage scalable data pipelines and analytics solutions using AWS services (Glue, Redshift) and Azure tools (Data Factory, Synapse).
Cloud IoT Services Expertise:
Work with IoT cloud services, including AWS IoT Core and Azure IoT Hub , to collect, process, and analyze IoT data efficiently.
Data Integration:
Develop solutions for integrating data from diverse sources, ensuring real-time or batch processing as per business requirements.
Performance Optimization:
Optimize performance of cloud-based data solutions to handle large-scale datasets effectively.
Troubleshooting and Debugging:
Identify and resolve issues in data pipelines, ensuring high availability and reliability of cloud data platforms.
Collaboration:
Work closely with data analysts, data scientists,



and business stakeholders to meet data needs and deliver insights.
Documentation and Standards Compliance:
Maintain comprehensive documentation of data architecture, processes, and workflows while ensuring compliance with best practices and security standards.

Requirements:
Solid expertise in AWS Glue , AWS Redshift , Azure Data Factory , and Azure Synapse Analytics .
Hands-on experience with IoT cloud platforms, such as AWS IoT Core and Azure IoT Hub .
Proficiency in building and managing data pipelines.
Knowledge of cloud security practices and cost optimization strategies.
Excellent problem-solving and communication skills.

📌 Sap Integration Consultant Bengaluru (India)
🏢 Sourceright Technologies (India) Private
📍 India