Role & responsibilities
Design and implement scalable data models using Snowflake to support business intelligence and analytics solutions.
Implement ETL/ELT solutions that involve complex business transformations.
Handle end-to-end Data warehousing solutions
Migrate the data from legacy systems to Snowflake systems
Write complex SQL queries for extracting, transforming, and loading data, ensuring high performance and accuracy.
Optimize the SnowSQL queries for better processing speeds
Integrate Snowflake with 3rd party applications
Use any ETL/ELT technology
Implement data security policies, including user access control and data masking, to maintain compliance with organizational standards.
Document solutions and data flows.

Preferred candidate profile
Robust understanding of Snowflake architecture, features, and best practices.
Experience in using Snowpark, Snowpipe, Streamlit




Experience in using Agile tables is good to have
Familiarity with cloud platforms (AWS, Azure, or GCP) and other cloud-based data technologies.
Experience with data modeling concepts like star schema, snowflake schema, and data partitioning.
Experience with Snowflakes Time Travel, Streams, and Tasks features
Experience in data pipeline orchestration using tools like Airflow or Prefect.
Knowledge of Python or Java for scripting and automation.
Experience with data visualization tools like Tableau, Power BI, or Looker
Knowledge of Snowflake pipelines is positive to have
Knowledge of data governance practices, including security, compliance, and data lineage.

📌 Snowflake Data Engineer Hyderabad (India)
🏢 Paltech Consulting
📍 India