You will build and optimize cloud data storage and processing solutions using Snowflake.
Responsibilities
- Design, implement, and maintain data pipelines and ETL processes.
- Collaborate with teams to understand data requirements and deliver data solutions.
- Ensure data integrity and security across all data workflows.
- Monitor and troubleshoot data pipelines to ensure accurate data flow.
- Develop reusable stored procedures and scripts for data processing.
Required Skills
- 5+ years of experience in data engineering or a related role.
- Proven experience with Snowflake.
- Knowledge of data warehousing concepts, dimensional modeling, and performance tuning.
- Hands-on experience with ETL tools (Informatica, Talend, dbt, or custom frameworks).
- Strong proficiency in SQL and database management.
- Experience with AWS, Azure, or Google Cloud.
- Familiarity with Git and CI/CD for data pipelines.
- Experience with Hadoop, Spark, or Kafka.
- Bachelor's degree in Computer Science, Engineering, or related field.
Preferred Skills
- Experience with Python or other scripting languages.
- Knowledge of data visualization tools such as Tableau or Power BI.