Senior Data Engineer - Snowflake DB

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About The Role

Key Responsibilities

• Design, develop, and maintain scalable ELT/ETL data pipelines, ensuring data accuracy, completeness, and timeliness.
• Partner with stakeholders to understand data requirements and translate them into efficient data models and pipelines.
• Build and optimize data pipelines using Snowflake, ElasticSearch, AWS S3, and NFS.
• Develop and maintain data warehouse schemas to support analytics and BI needs.
• Implement data quality checks, monitoring, and automation to ensure data integrity.
• Collaborate with data scientists and analysts to ensure data accessibility and usability for advanced analytics.
• Stay updated with industry best practices in CI/CD, DevSecFinOps, and Agile/Scrum methodologies.
• Contribute to the continuous enhancement of our data warehouse architecture.
  

Required Qualifications & Skills

• Bachelors degree in Computer Science, Engineering, or related field.
• 5+ years of professional experience as a Data Engineer with a strong focus on ELT/ETL processes.
• Minimum 3+ years of hands-on experience with Snowflake data warehousing technologies.
• Minimum 3+ years of experience in building and maintaining Apache Airflow ETL pipelines.
• 3+ years of professional Python experience for data manipulation and automation.
• Working experience with ElasticSearch in data pipeline applications.
• Strong SQL skills and expertise in data modeling techniques.
• Solid understanding of AWS S3 and cloud-based data storage solutions.
• Experience working with NFS and file storage systems.
• Excellent problem-solving, analytical, and communication skills with a collaborative mindset.
  

Nice To Have

• Exposure to CI/CD pipelines, DevSecFinOps, or similar modern engineering practices.
• Knowledge of modern data architecture patterns and real-time data streaming.