Roles and Responsibilities :

- Design, develop, test, deploy, and maintain large-scale data pipelines using Azure Cloud services such as Data Factory, Synapse Analytics, and Stream Analytics.
- Collaborate with cross-functional teams to gather requirements for data processing needs and design solutions that meet business objectives.
- Develop scalable and efficient data architectures on AWS/GCP/Azure platforms to support real-time data ingestion, transformation, storage, and analytics workloads.
- Troubleshoot complex issues related to data pipeline failures or performance degradation by analyzing logs, debugging techniques, and collaborating with stakeholders.

Job Requirements :

- 5-10 years of experience in Data Engineering with expertise in Scala programming language.
- Robust understanding of big data technologies like Hadoop ecosystem (HDFS), Spark (Scala), Kafka etc. .
- Experience working with cloud-based platforms like AWS/GCP/Azure Cloud Services (Data Factory).
- Proficiency in developing scalable architecture designs for large-scale data processing systems.

📌 Azure Data Engineer/ GCP Data Engineer/AWS Scala Data Engineer (Karnataka)
🏢 IonIdea
📍 Karnataka