We are looking for a Snowflake Data Engineer with strong hands-on experience in Snowflake, Snowpipe, Cloud, Python, and SQL to design, develop, and maintain scalable cloud-based data pipelines and data warehouse solutions.

Key Responsibilities

Design and develop scalable data pipelines using Snowflake and Snowpipe.
Build and maintain automated data ingestion pipelines from cloud and external sources into Snowflake.
Develop Snowpipe / Snowpipe Streaming solutions for continuous and near-real-time data ingestion.
Write complex and optimized SQL queries, stored procedures, views, CTEs, and data transformations.
Develop Python-based scripts and data processing solutions for ETL/ELT workflows.
Work with cloud platforms such as AWS / Azure / GCP for data storage, processing, and integration.
Implement data transformation, cleansing, validation, and quality checks.
Optimize Snowflake queries, warehouse utilization, and overall pipeline performance.
Work with stages, file formats, external/internal tables, streams, tasks,



and Snowflake objects.
Troubleshoot production data pipelines, identify root causes, and resolve data issues.
Implement secure data access using roles, privileges, and Snowflake security features.
Collaborate with application, analytics, and business teams to deliver reliable data solutions.

Mandatory Skills

Snowflake
Snowpipe
Cloud – AWS / Azure / GCP
Python
SQL
Solid understanding of ETL/ELT and data warehousing concepts
Experience with cloud-based data ingestion and pipeline development

Good to Have

Snowpipe Streaming
Snowflake Streams & Tasks
Snowflake performance optimization
dbt / Airflow
AWS S3 / Azure ADLS / GCP GCS
Git / CI-CD
Data quality and monitoring tools

Experience

5+ years of overall experience with strong hands-on experience in Snowflake and cloud data engineering.

Skills: snowflake,aws,python

📌 Snowflake+Python (Gurugram)
🏢 Zorba AI
📍 Gurugram