You will design scalable data warehouse and analytics solutions leveraging AWS and Snowflake.
Responsibilities
- Design scalable data warehouse and analytics solutions using AWS and Snowflake.
- Support enterprise architecture, solution design, and technical strategy.
- Develop and optimize SQL queries, ETL/ELT pipelines, and data models.
- Collaborate with engineering, application, and infrastructure teams.
- Ensure data governance, quality, and security standards while mentoring data teams.
Required Skills
- 15+ years of experience in Data Engineering or Data Architecture.
- Expertise in SQL, Data Warehousing, and Relational Database Design.
- Hands-on experience with AWS services including Redshift, S3, SNS, SQS, EC2, Glue, Athena, and Lambda.
- Proficiency with Snowflake.
- Experience with Data Modeling using Star and Snowflake schemas.
- Experience implementing ETL/ELT frameworks.
- Any Graduate degree.
Preferred Skills
- Knowledge of Python or Spark for data pipelines.