Description

Architect and optimize cloud-based data solutions, owning scalable data models, ETL/ELT pipelines, and Snowflake data sharing mechanisms.

This role is on-site.

Responsibilities

• Design and implement scalable data models and efficient ETL/ELT pipelines in Snowflake.
• Write complex SQL queries and optimize performance for cloud data environments.
• Ensure data security, governance, and integrity across AWS, Azure, or Google Cloud.
• Collaborate with cross-functional teams to deliver high-quality data products.
• Resolve technical issues and support data integration using tools like ADF or IICS.

Required Skills

• 5+ years of experience in data warehousing and cloud data engineering.
• Extensive expertise with Snowflake, including data modeling and performance tuning.
• Proficiency in Python and PySpark for data processing and transformation.
• Strong command of SQL for complex analytical queries.
• Hands-on experience with AWS, Azure, or Google Cloud platforms.
• Experience with Redshift, BigQuery, or Synapse Analytics.
• Knowledge of data integration tools such as ADF or IICS.

Preferred Skills

• Familiarity with Agile development methodologies.
• Snowflake or related cloud data certifications.

Key Skills

Education

Any Gradute