Architect and implement enterprise-grade data migration solutions using Java and Python, enabling seamless data transfers from on-premises to GCP (Cloud Storage, BigQuery, Pub/Sub) using Apache Airflow and Google Cloud Composer. Build secure, scalable, and optimized data architectures leveraging GCP services such as Cloud Storage, Pub/Sub, Dataproc, Dataflow, and BigQuery. Design and implement automated frameworks for data delivery, monitoring, and troubleshooting. Develop data observability frameworks to ensure quality, lineage, and reliability across pipelines. Proactively monitor system performance, identify bottlenecks, and optimize pipelines for efficiency, scalability, and cost. Troubleshoot and resolve complex technical issues in distributed systems and cloud environments. Drive best practices in documentation of tools, architecture, processes, and solutions. Mentor junior engineers, conduct design/code reviews, and influence engineering standards. Collaborate with cross-functional teams to enable AI/ML and GenAI-driven use cases on LUMI

📌 JAVA GCP (Chennai)
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📍 Chennai