Data Engineer - Snowflakes Developer

A Junior Snowflake Developer you would focus on assisting with cloud data warehouse maintenance, writing basic-to-intermediate SQL queries, and supporting ETL/ELT data pipelines. Role Summary. As a Junior Snowflake Developer, you will help design, build, and optimize cloud data structures on the Snowflake platform. You will work closely with senior data engineers, architects, and analytics teams to turn raw data into clean, usable business information. Key Responsibilities. Database & Schema Support: Assist in creating and maintaining Snowflake databases, schemas, tables, and views. SQL Development: Write, test, and optimize SQL queries for data extraction and transformation. ETL/ELT Pipelines: Help build and monitor data pipelines using tools like dbt, Fivetran, or Snowflake-native features like Streams & Tasks and Snowpipe. Environment Maintenance: Support performance tuning, virtual warehouse monitoring, and basic cost-management tasks. Data Quality & Testing: Run validation checks to ensure data accuracy and integrity across tables. Collaboration: Partner with senior team members to troubleshoot pipeline errors and document data workflows. Required Skills & Qualifications. Experience: 1 to 2 years of experience in data engineering, data warehousing, or analytics engineering (freshers may apply depending on the company). Core Technical Skills. Strong SQL proficiency. Basic-to-working knowledge of Python (and familiarity with Snowpark is a plus). Understanding of ETL/ELT concepts and relational data modeling (fact and dimension tables, star schemas). Snowflake Knowledge. Familiarity with Snowflake architecture (virtual warehouses, micro-partitions, time travel). Exposure to Snowflake objects (stages, tasks, streams). Cloud & Tools: Basic exposure to a major cloud platform (AWS, Azure, or GCP) and version control tools like Git. Certifications (Preferred/Mandatory): Holding a Snowflake SnowPro Core Certification is often required or strongly preferred for junior roles.