• The ideal candidate will have extensive experience with big data technologies, cloud platforms, and a strong ability to collaborate with cross-functional teams to deliver high-quality data solutions
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field
• 5+ years of experience in data engineering in a modern tech stack
• Proficiency in programming languages such as Python, Java, or Scala
• Strong experience with big data technologies
• Expertise in SQL and experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra)
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
• Familiarity with data warehousing solutions like Redshift, BigQuery, or Snowflake
• Knowledge of data modeling, data architecture, and data governance principles
• Experience with IaaS technologies (e.g. terraform)
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skills

Desirable

• The Senior Data Engineer will play a critical role in designing, developing, and maintaining our data infrastructure.
• This role requires a deep understanding of data architecture, data modeling, and ETL processes.
• Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics
• Architect and implement data storage solutions, including data warehouses, data lakes, and databases
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs
• Optimize and tune data systems for performance, reliability, and scalability
• Ensure data quality and integrity through rigorous testing, validation, and monitoring
• Develop and enforce data governance policies and best practices
• Stay current with emerging data technologies and industry trends, and evaluate their potential impact on our data infrastructure
• Troubleshoot and resolve data-related issues in a timely manner