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

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 - Data Engineering :: (Thiruvananthapuram)
🏢 UST
📍 Thiruvananthapuram