remote
CloudOps / Snowflake / Data Analytics Engineer - CitiusTech
Data Engineer
Senior engineer responsible for designing, deploying, and maintaining Snowflake data pipelines and CloudOps solutions, leveraging SQL, Python, and AWS to deliver scalable analytics platforms.
About the role
Key Responsibilities
- Architect and implement Snowflake data warehouses, ensuring optimal performance and cost efficiency.
- Develop and maintain ETL/ELT pipelines using Python, SQL, and Airflow or similar orchestration tools.
- Manage CloudOps tasks across AWS services (S3, Redshift, Lambda, Glue) to support data ingestion and processing.
- Collaborate with data scientists and business analysts to translate requirements into robust data models and dashboards.
- Monitor, troubleshoot, and optimize data workflows, applying best practices for security, compliance, and data governance.
Requirements
- 10–15 years of experience in cloud data engineering, with deep expertise in Snowflake and AWS.
- Proficient in SQL, Python, and ETL tooling; experience with Airflow, dbt, or similar.
- Strong understanding of data modeling, performance tuning, and data governance principles.
- Excellent problem‑solving skills and ability to work independently in a remote environment.
- Effective communication skills for cross‑functional collaboration.
Skills
snowflakesqlpythonaws