Role Description Must Have Skills
• Snowflake (Hands-on development and administration)
• Cloud Platform Experience (AWS / Azure / GCP)
• Robust SQL and Data Warehousing Concepts
• ETL/ELT Development & Data Pipeline Engineering
• Data Modeling
• Grafana (Monitoring & Visualization)
• Python and/or Spark
• CI/CD & DevOps Practices
• Git / Version Control Good To Have Skills
• Apache Kafka
• Apache Airflow
• DBT (Data Build Tool)
• Real-time Data Processing & Streaming Architectures
• Big Data Technologies
• Data Governance & Data Security Practices
• Performance Tuning & Optimization

Job Description
We are seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will possess strong expertise in Snowflake, cloud technologies, and modern data engineering practices to support enterprise analytics and reporting requirements.





Key Responsibilities
• Design, develop, and optimize ETL/ELT pipelines for large-scale data processing.
• Build and manage data solutions using Snowflake as the enterprise data warehouse.
• Develop and maintain cloud-native data architectures on AWS, Azure, or GCP.
• Implement data quality, governance, security, and performance optimization practices.
• Create and maintain monitoring and observability dashboards using Grafana.
• Collaborate with business analysts, data scientists, and application teams to deliver data solutions.
• Troubleshoot data platform issues and drive continuous improvement initiatives.
• Support both batch and real-time data processing workloads. Skills Snowflake, Grafana, Google Cloud Platform, AWS

📌 Lead I (Thiruvananthapuram)
🏢 UST
📍 Thiruvananthapuram