Description

Design and implement Snowflake-based analytics solutions, including data lakes and data warehouses on AWS.

This role is on-site.

Responsibilities

• Design and implement Snowflake-based data lakes and data warehouses on AWS.
• Build and maintain data integration and publication pipelines using Talend, DBT, S3, and Snowflake.
• Develop Snowflake deployment best practices and educate team members on platform capabilities.
• Translate complex functional requirements into technical solutions within an Agile/Lean model.
• Collaborate with data architects, scientists, and analysts to resolve technical issues.

Required Skills

• 4-7 years of experience in Data Engineering.
• Strong experience with DBT concepts including model building, configurations, incremental load strategies, macros, and DBT tests.
• Expertise in SQL and AWS.
• Proficiency in Amazon S3, SQL, and NoSQL technologies.
• Experience creating and maintaining data pipeline architectures for ingestion and processing.
• Strong data modeling technical awareness.
• B.E., B.Tech., MCA, or equivalent degree.

Preferred Skills

• Experience with AWS data services, Bigdata technologies, or Apache Airflow and Apache Kafka.
• Exposure to Tableau, data quality, and data governance processes.
• Domain knowledge in Payments, CRM, Accounting, or regulatory reporting.

Key Skills

Education

Any Graduate