Senior Data Engineer(Snowflake, ETL) Local to Bay Area

Key Responsibilities • Develop and optimize cloud-based data storage and processing solutions using Snowflake. • Design, implement, and maintain robust data pipelines and ETL processes • Collaborate with Federated teams and other data engineers to understand data requirements and deliver high-quality data solutions. • Ensure data integrity and security across all data workflows and storage solutions. • Monitor and troubleshoot data pipelines, addressing any issues promptly to ensure the smooth flow of data. • Develop reusable and modular stored procedures and scripts for data processing. • Contribute to the development and implementation of data governance and best practices. • Monitor and troubleshoot data pipelines to ensure reliability and accuracy. • Implement best practices for data governance, data quality, and metadata management. Minimum Qualifications • Bachelor’s or master’s degree in computer science, Engineering, or a related field. • Minimum of 5 years of experience in data engineering or a related role. • Proven experience with Snowflake is required. • Knowledge of data warehousing concepts, dimensional modeling, and performance tuning. • Hands-on experience with ETL tools (e.g., Informatica, Talend, dbt, or custom ETL frameworks). • Strong proficiency in SQL and database management. • Experience with cloud platforms such as AWS, Azure, or Google Cloud. • Familiarity with version control (Git) and CI/CD for data pipelines. • Familiarity with Big Data technologies such as Hadoop, Spark, and Kafka is a plus. • Excellent problem-solving and analytical skills. • Strong communication and collaboration abilities. Preferred Skills • Experience with Python or other scripting languages. • Experience with informatica but not necessary. • Knowledge of data visualization tools such as Tableau or Power BI. • Exposure to data orchestration tools