- - 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 3 rd 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.
Skills Qualifications:
Experience:
- - 2+ years of experience in data engineering, with a focus on Snowflake.
- Proficient in SQL and Snowflake-specific SQL functions.
- Experience with ETL/ELT tools and cloud data integrations.
Technical Skills:
- - Robust understanding of Snowflake architecture, features, and best practices.
- Experience in using Snowpark,
Snowpipe, Streamlit
- Experience in using Dynamic 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 Snowflake s 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 good to have
- Knowledge of data governance practices, including security, compliance, and data lineage.
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Snowflake Data Engineer (Hyderabad)
🏢 Paltech
📍 Hyderabad
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