Must Have Skills • Snowflake (Hands-on development and administration) • Cloud Platform Experience (AWS / Azure / GCP) • Strong 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.