Snowflake Data Engineer - DBT

Role

Experience

Location

Mandatory Skills

Overview of the requirement:

Data Architect/ Sr. Data Engineer

Roles and Responsibility:

• Implement and maintain

  data warehousing

  solutions in

  Snowflake

  to handle large-scale data processing and analytics needs.
• Optimize workflows using

  DBT

  to streamline data transformation and modeling processes.
• Strong expertise in

  SQL

  with hands-on experience in querying, transforming, and analysing large datasets.
• Solid understanding of data profiling, validation, and cleansing techniques.
• Strong understanding of

  data modeling

  ,

  ETL/ELT processes

  , and modern data architecture frameworks.
• Expertise with

  cloud data platforms

  (Azure/AWS/GCP) for large-scale data processing.
• Collaborate with cross-functional teams to identify and prioritize project requirements.
• Develop and maintain large-scale data warehouses on Snowflake.
• Optimize database performance and ensure data quality.
• Troubleshoot and resolve technical issues related to data processing and analysis.
• Participate in code reviews and contribute to improving overall code quality.

Job Requirements:

• Strong understanding of data modeling and ETL concepts.
• Experience with Snowflake and DBT is highly desirable.
• Strong expertise in

  SQL

  with hands-on experience in querying, transforming, and analysing large datasets.
• Expertise with

  cloud data platforms

  (Azure/AWS/GCP) for large-scale data processing.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• Strong communication and interpersonal skills.
• Familiarity with agile development methodologies.