JR-162918 Data Engineer Senior
We are looking for a Senior Data Engineer combining Snowflake expertise, cloud technologies, and strong ETL development skills to build scalable, secure, and high-performing data solutions.
Locations:
Latam Europe
Requirements:
Bachelor's degree in computer science, information technology, or a similar field. 5+ of experience in data engineering 2+ years of experience in Snowflake architecture, data modeling, and ETL processes Snowflake SnowPro certification Knowledge with Snowpark Knowledge with iceberg table concept Snowflake data sharing concept, and familiarity with Snowflake marketplace Solid Python programming Proficiency in SQL, query optimization techniques Hands-on experience implementing robust, scalable data pipelines Skills in workflow management using tools such as Argo, Oozie, or Apache Airflow Familiarity with one of the cloud providers (AWS, Azure, GCP) Experience with CI/CD pipelines and DevOps practices for data engineering Solid understanding of data warehousing, data lakes, MPP data platforms, and data processing frameworksJob Responsabilities:
Design and implement scalable Snowflake data models to meet data ingestion and analytics needs Develop and maintain robust ETL pipelines, ensuring data consistency and integrity across multiple sources Optimize Snowflake configurations for performance enhancements, query tuning, and efficient data partition management Implement data security measures, role-based access control, and data masking within Snowflake to adhere to compliance and governance standards Automate data processing and pipeline monitoring Implement data migration processes from other data solutions Collaborate with cross-functional teams to solve complex data challenges and effectively troubleshoot Snowflake-related issues
Will be a plus:
Snowflake SnowPro certification Experience with Databricks Experience with DBT framework Knowledge of AI/ML Competency in the design and implementation of data enrichment between Snowflake and Salesforce Competency in the design and development of data transformation pipelines with either Mulesoft, Boomi or Snaplogic
Other skills:
English – Excellent written and verbal communication skills; Ability to work in a global multi-cultural multi-national company; Good communication skills and persuasiveness; Ability to lead conversations with both technical and business representatives; Proven ability to work both independently and as part of an international project team.
What We Offer:
Competitive salary; 100% remote opportunity; Opportunities for professional growth and advancement; A collaborative and innovative work environment; Support for participation in professional development opportunities (webinars, conferences, trainings, etc.); Regular team-building activities and bi-annual company-wide events; Flexible work environment (in-office, remote, or hybrid depending on preferences and manager approval). Benefits may vary depending on your location and position. Full details will be provided during the interview process.
Job ID: JR-162918
Apply Now
Locations:
Latam Europe
Requirements:
Bachelor's degree in computer science, information technology, or a similar field. 5+ of experience in data engineering 2+ years of experience in Snowflake architecture, data modeling, and ETL processes Snowflake SnowPro certification Knowledge with Snowpark Knowledge with iceberg table concept Snowflake data sharing concept, and familiarity with Snowflake marketplace Solid Python programming Proficiency in SQL, query optimization techniques Hands-on experience implementing robust, scalable data pipelines Skills in workflow management using tools such as Argo, Oozie, or Apache Airflow Familiarity with one of the cloud providers (AWS, Azure, GCP) Experience with CI/CD pipelines and DevOps practices for data engineering Solid understanding of data warehousing, data lakes, MPP data platforms, and data processing frameworksJob Responsabilities:
Design and implement scalable Snowflake data models to meet data ingestion and analytics needs Develop and maintain robust ETL pipelines, ensuring data consistency and integrity across multiple sources Optimize Snowflake configurations for performance enhancements, query tuning, and efficient data partition management Implement data security measures, role-based access control, and data masking within Snowflake to adhere to compliance and governance standards Automate data processing and pipeline monitoring Implement data migration processes from other data solutions Collaborate with cross-functional teams to solve complex data challenges and effectively troubleshoot Snowflake-related issues
Will be a plus:
Snowflake SnowPro certification Experience with Databricks Experience with DBT framework Knowledge of AI/ML Competency in the design and implementation of data enrichment between Snowflake and Salesforce Competency in the design and development of data transformation pipelines with either Mulesoft, Boomi or Snaplogic
Other skills:
English – Excellent written and verbal communication skills; Ability to work in a global multi-cultural multi-national company; Good communication skills and persuasiveness; Ability to lead conversations with both technical and business representatives; Proven ability to work both independently and as part of an international project team.
What We Offer:
Competitive salary; 100% remote opportunity; Opportunities for professional growth and advancement; A collaborative and innovative work environment; Support for participation in professional development opportunities (webinars, conferences, trainings, etc.); Regular team-building activities and bi-annual company-wide events; Flexible work environment (in-office, remote, or hybrid depending on preferences and manager approval). Benefits may vary depending on your location and position. Full details will be provided during the interview process.
Job ID: JR-162918
Apply Now