Snowflake Data engineer
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Job Location:
Monthly Salary:
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Design and implement scalable secure and high-performance data pipelines using Snowflake.
Architect and manage data warehousing solutions and ETL/ELT processes using tools like dbt Matillion Talend or Informatica.
Work closely with business stakeholders data analysts and BI developers to understand data requirements and translate them into robust data models.
Optimize Snowflake performance through query tuning clustering caching and resource monitoring.
Implement and maintain data governance data security policies and access controls within Snowflake.
Collaborate with DevOps/Cloud teams to provision monitor and maintain Snowflake environments.
Perform data migration from legacy systems or other cloud data platforms (e.g. Redshift BigQuery) to Snowflake.
Provide leadership and mentorship to junior data engineers and act as a technical SME for Snowflake.
Stay updated with the latest Snowflake features and best practices and evaluate their applicability.
Expertise in data modeling (dimensional normalized/denormalized) data warehousing concepts and star/snowflake schemas.
Excellent problem-solving skills communication skills and ability to work independently in a fast-paced environment.
Understanding of data governance privacy (GDPR/CCPA) and security best practices.
Knowledge of CI/CD pipelines Git and DevOps practices for data environments.
Architect and manage data warehousing solutions and ETL/ELT processes using tools like dbt Matillion Talend or Informatica.
Work closely with business stakeholders data analysts and BI developers to understand data requirements and translate them into robust data models.
Optimize Snowflake performance through query tuning clustering caching and resource monitoring.
Implement and maintain data governance data security policies and access controls within Snowflake.
Collaborate with DevOps/Cloud teams to provision monitor and maintain Snowflake environments.
Perform data migration from legacy systems or other cloud data platforms (e.g. Redshift BigQuery) to Snowflake.
Provide leadership and mentorship to junior data engineers and act as a technical SME for Snowflake.
Stay updated with the latest Snowflake features and best practices and evaluate their applicability.
Expertise in data modeling (dimensional normalized/denormalized) data warehousing concepts and star/snowflake schemas.
Excellent problem-solving skills communication skills and ability to work independently in a fast-paced environment.
Understanding of data governance privacy (GDPR/CCPA) and security best practices.
Knowledge of CI/CD pipelines Git and DevOps practices for data environments.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
