Senior Data Engineer

Description: Design, build, and maintain scalable data pipelines and models for analytics and business intelligence. Collaborate with data analysts, scientists, and stakeholders to translate requirements into data models. Requirements: Extensive experience with SQL and modern data warehousing solutions, preferably Snowflake. Hands-on experience with dbt for data transformation and modeling. Strong programming skills in Python for data engineering tasks. Proven track record in designing and managing ETL processes and scalable data pipelines. Ability to quickly understand and work with complex data models. Strong analytical, problem-solving, and communication skills. Benefits: Competitive compensation and professional development opportunities. Flexible work arrangements to support employee well-being.