Snowflake Data Engineer - Onsite

Responsibilites

• Translate data models into efficient and optimized database objects in accordance with established governance and naming conventions.
• Develop and implement data transformation and loading process to populate and maintain data within the created tables and views.
• Collaborate with data architects and tech leads to understand data requirements and translate them into logical data model.
• Document table/view definitions into Alation and enable data quality checks for required tables/views.
• Optimize database performance by identifying and implementing improvements to queries, indexing, and table structures.

• Strong proficiency in SQL and experience with relational database management systems (RDBMS) such as Oracle or Snowflake
• Experience with data warehousing concepts and technologies.
• Experience with Python for Data Processing.
• Familiarity with ETL/ELT tools and techniques.
• Experience in developing data applications in Cloud (AWS)
• Experience with Business Intelligence like Tableau and Dashboards is a plus
• Experience with Dev Ops, Continuous Integration and Continuous Delivery (Jenkins, Git Hub)
• Understanding of data governance principles and best practices.
• Proven experience in understanding existing data model and develop the data objects.
• Excellent analytical and problem-solving skills.
• Ability to work independently and collaboratively within a team environment.
• Strong communication skills to articulate technical concepts to both technical and non-technical audiences.

• Entry level

• Full-time

• Information Technology

• IT Services and IT Consulting