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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Engineering with a focus on Snowflake and Databricks, including data migration, pipeline development, and optimization. Proficient in SQL, Python, and data orchestration tools, ensuring data quality and reliability throughout processes.
Highest-signal resume keywords
Data Migration ExpertiseSnowflake ProficiencyDatabricks ExperienceAdvanced SQL SkillsETL/ELT Process Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData Pipeline DevelopmentData TransformationSQLPythonETLELTData Quality AssuranceData MigrationComplex Data Transformations
Soft Skills
CollaborationCommunicationIndependence
Tools & Technologies
SnowflakeDatabricksApache SparkAirflowDbt
Industry Keywords
Data Migration ProjectsData WorkflowsData OrchestrationLATAM Time ZonesRemote Work
Tech Stack
Tools & technologiesAirflowApacheETLPythonSparkSQL
About the role
Key responsibilities & impact- Support Snowflake-to-Databricks data migration activities
- Design and implement scalable data pipelines in Snowflake and Databricks
- Develop data ingestion and transformation processes from various sources
- Migrate and optimize existing data workflows, ETL processes, and transformation logic
- Build and maintain data transformations using SQL, Python, dbt, and other data engineering tools
- Work with Databricks technologies, including Apache Spark-based data processing
- Optimize pipelines for performance, scalability, cost efficiency, and maintainability
- Automate data workflows and orchestration processes using tools such as Airflow or similar technologies
- Collaborate with technical and business stakeholders to understand requirements and deliver effective data solutions
- Ensure data quality and reliability throughout migration and development processes
Requirements
What you’ll need- Senior-level experience in Data Engineering
- Strong hands-on experience with Snowflake
- Strong hands-on experience with Databricks (DBX) and Spark-based data processing
- Experience with Snowflake-to-Databricks migration projects is highly preferred
- Advanced SQL skills and experience with complex data transformations
- Experience with Python and modern data engineering tools
- Experience with ETL/ELT processes and data pipeline development
- Experience with data orchestration tools such as Airflow or similar
- Ability to work independently in a remote contractor environment
- Fluent Spanish communication skills
- Strong technical and business English (oral, reading and writing)
- Availability to work within LATAM time zones
Benefits
Comp & perks- Diverse projects - In each assignment, there is always something new, either on the technical or the business side, that helps you grow.
- Empowerment - Trust is a cornerstone of our culture. We'll hold your hand if you need it, but give you space if you’d like to push your limits.
- Flexible ways of working – We love our location on Bartók Béla RoadStreet which is not only an office but also a community space. However, we respect our people to do their work when and how they work best.
- Balanced life - We love what we do and aim to work together with others who do their work with love. At the same time, we highly value fresh minds, for which we think a healthy work/life balance is essential!
- Forget about pointless meetings and unnecessary administration.
- Mentoring from your first day – Continuous support is not just a set of fancy words we throw around here; your mentor follows you throughout your career path.
- Learning & Development opportunities - If you want to keep learning and improving, we are on to a great track! We look forward to helping you unlock your potential.
- Supportive corporate culture - In addition to our professional success, we are proud of the social cohesion that is based on comradery, mutual support, and respect and is constantly nurtured in the company.