Snowflake Data Engineer
Yochana
Job description
Expert Snowflake Data Engineer with 12+ years in software and data engineering, including 3-5 years focused on building and optimizing data microservices and delivering end-to-end solutions. You will design, implement, and deploy scalable Snowflake architectures, collaborating with business and technology teams to ensure efficient, high-quality data delivery from start to finish. Job Requirements:
Expert Snowflake Data Engineer with 12+ years in software and data engineering, including 3-5 years focused on building and optimizing data microservices and delivering end-to-end solutions. You will design, implement, and deploy scalable Snowflake architectures, collaborating with business and technology teams to ensure efficient, high-quality data delivery from start to finish. Job Requirements:
- Design, develop, and optimize complex data pipelines and ETL processes using Snowflake and complementary cloud technologies.
- Architect and implement scalable data warehouse solutions to support business requirements and analytics needs.
- Lead data migration and modernization projects from legacy platforms to Snowflake.
- Develop and enforce best practices for Snowflake architecture, security, performance tuning, and cost optimization.
- Mentor and guide junior and mid-level engineers, fostering a culture of technical excellence and continuous learning.
- Collaborate closely with data scientists, analysts, and business stakeholders to understand requirements and deliver robust solutions.
- Develop and maintain documentation, data models, and data dictionaries for Snowflake environments.
- Monitor, troubleshoot, and resolve issues related to data integrity, performance, and reliability.
- Evaluate and integrate new data tools and technologies to enhance the data engineering ecosystem.
- Ensure compliance with company policies and industry standards regarding data security and governance.
- Bachelor's or master's degree in computer science, Engineering, Information Systems, or a related field.
- 12+ years of experience in data engineering or a related field, with demonstrable expertise in building and maintaining large-scale data systems.
- 3+ years of hands-on experience with Snowflake, including data modeling, performance tuning, and advanced SQL.
- Strong experience with ETL/ELT tools (e.g., Informatica, Talend, dbt, Apache Airflow) and data integration techniques.
- Proficiency in programming languages such as Python, Scala, or Java for data processing.
- Deep understanding of cloud data platforms (AWS, Azure, or GCP) and their integration with Snowflake.
- Proven track record of leading complex data migration and modernization projects.
- Excellent analytical, problem-solving, and communication skills.
- Experience with data security best practices, access controls, and compliance requirements.
- Familiarity with CI/CD pipelines and DevOps practices in the context of data engineering.
- Snowflake certification(s) strongly preferred.
- Experience with real-time data processing frameworks (e.g., Kafka, Spark Streaming).
- Knowledge of BI/reporting tools (e.g., Tableau, Power BI, Looker).
- Exposure to machine learning workflows and data science collaboration.
Vacancy posted 3 days ago
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