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

Valuable 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 contemporary 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 (India)
🏢 UST
📍 India