Snowflake Engineer
# Snowflake Engineer **Dhan AI** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Engineer]` `[Snowflake-Engineer]` `[ETL-Developer]` `[Data-Warehouse-Engineer]` `[BI-Developer]` `[Snowflake-Data-Engineer]` `[Snowflake-Platform-Engineer]` `[Snowflake-Engineering]` `[Snowflake-Data-Engineering]` `[Snowflake-Developer]` --- ### About the Role This is a remote position. Snowflake Engineer Experience: 1–3 Years Location: Hyderabad / Remote Employment Type: Full-time About the Role We are looking for a Snowflake Engineer with 1–3 years of hands-on experience in data engineering and cloud data platforms. The ideal candidate should have practical experience working with Snowflake, SQL, Python, and ETL/ELT pipelines and be comfortable working with large datasets. This role is suited for someone who enjoys solving data problems, learning new technologies, and building scalable data solutions. Key Responsibilities - Develop and maintain data pipelines using Snowflake and SQL . - Write complex SQL queries for data transformation, extraction, and analysis. - Build and maintain ETL/ELT pipelines from multiple data sources. - Work with Snowflake features such as Streams, Tasks, Snow pipe, and stored procedures . - Develop data transformations and automation using Python . - Create and maintain tables, views, schemas, and data models in Snowflake. - Monitor and troubleshoot data pipelines and resolve data quality issues. - Optimize SQL queries and Snowflake workloads for performance and cost. - Work with cloud storage and services such as AWS S3, Azure Blob Storage, or GCP . - Collaborate with senior engineers, analysts, and other stakeholders to understand data requirements. - Participate in code reviews, testing, deployment, and technical documentation. - Follow best practices for data security, quality, and reliability. Required Skills - 1–3 years of hands-on experience in Data Engineering, Data Warehousing, or a related role. - Hands-on experience with Snowflake . - Strong SQL skills. - Working knowledge of Python . - Understanding of ETL/ELT pipelines and data integration . - Basic understanding of data modelling and database concepts . - Experience working with at least one cloud platform — AWS, Azure, or GCP . - Familiarity with Git/version control . - Good analytical and problem-solving skills. Requirements Good to Have - Experience with Snowflake Streams, Tasks, Snow pipe, or Dynamic Tables . - Experience with dbt . - Familiarity with Apache Airflow or other workflow orchestration tools. - Exposure to AWS services such as S3, Lambda, Glue, or Redshift . - Experience with APIs, JSON, or other data formats. - Exposure to CI/CD practices. - Understanding of data quality and data governance. - Snowflake certification. What We're Looking For - Strong hands-on and practical approach to problem-solving. - Ability to understand requirements and translate them into technical solutions. - Good communication and collaboration skills. - Willingness to learn and work with modern data technologies. - Ability to work independently while collaborating with senior team members. - Strong attention to detail and data quality. Originally posted on Himalayas
- Data-Engineer
- Snowflake-Engineer
- ETL-Developer
- Data-Warehouse-Engineer
- BI-Developer
- Snowflake-Data-Engineer
- Snowflake-Platform-Engineer
- Snowflake-Engineering
- Snowflake-Data-Engineering
- Snowflake-Developer
Наблюдалась 2026-10-17, впервые 2026-10-17, источник — Himalayas (JSON API).