Data Engineer – Databricks, Snowflake, Spanish-speaking

🔥 1 minute ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Hiflylabs

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

🤖 Artificial Intelligence

Artificial Intelligence • Data Engineering • Analytics

Hiflylabs is a data and technology company focused on providing advanced solutions in AI, data engineering, and analytics. With over 200 experts, Hiflylabs has completed more than 500 projects across the US and Europe, offering services like data strategy advisory, AI and data science solutions, and data visualization. The company is recognized for its innovative AI applications and data-driven solutions in various industries including finance, retail, manufacturing, and energy. As a trusted partner for AI and data integration, Hiflylabs excels in transforming legacy systems into modern, efficient platforms through technologies like predictive modeling, machine learning, and interactive knowledge bases.

📋 Description

• 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

• 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

• 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.