Data Engineer @ Zartis | Simplify Jobs

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The company and our mission:

Zartis is a digital solutions provider working across technology strategy, software engineering and product development.

We partner with firms across financial services, MedTech, media, logistics technology, renewable energy, EdTech, e-commerce, and more. Our engineering hubs in EMEA and LATAM are full of talented professionals delivering business success and digital improvement across application development, software architecture, CI/CD, business intelligence, QA automation, and new technology integrations.

We are looking for a DataEngineer to work on a project in the travel industry.

The project:

Our teammates are talented people that come from a variety of backgrounds. We’re committed to building an inclusive culture based on trust and innovation.You will be part of a distributed team developing new technologies to solve real business problems. Our client is a leading travel technology company that powers global car rental and mobility solutions for major brands across the airline and travel sectors.

We are looking for someone with good communication skills, ideally with experience making decisions, being proactive, used to building software from scratch, and with good attention to detail.

What you will do:

- Build & Optimize Data Pipelines: Design, construct, and maintain robust, scalable ETL/ELT pipelines using dbt and Airflow to integrate new data sources and manage changes to SQL jobs.

- Troubleshooting issues with existing SQL/ETL processes and data loads to drive to solution.

- Design and build extensible data models and integration solutions using various tools such as Snowflake functionality, Airflow, Soda, DBT, AWS s3.

- Implement and enforce best practices for data quality, testing, and documentation to ensure data is accurate, consistent, and trustworthy.

- Continuously optimize our Snowflake data warehouse, refining data models and architecture to improve query performance, scalability, and Cost-efficiency.

What you will bring:

- 3+ years of professional experience in Data Engineering or a related role.

- Strong hands-on expertise in building data pipelines, data models, and implementing data quality frameworks.

- Proven experience accessing and manipulating structured and semi-structured data (e.g., JSON) across cloud environments.

- Proficiency with at least some of the following technologies: Snowflake, Redshift, Hadoop, Spark, AWS cloud storage/services, and working with data from APIs.

- Expert-level proficiency in Python (or Scala) for data manipulation and scripting, as well as advanced SQL and stored procedures for complex querying and data modeling.

- Experience with orchestration and monitoring tools such as Airflow.

- Solid understanding of ETL/ELT design patterns, data modeling principles, and database architectures.

- Familiarity with full stack development practices, including CI/CD pipelines and automated testing (e.g., GitHub, Jenkins).Demonstrated ability to work creatively and analytically in a fast-paced, problem-solving environment.

- Excellent communication skills (verbal and written) and strong interpersonal skills.

- Proven ability to translate complex technical analysis into clear, precise, and actionable insights for stakeholders.

What we offer:

- 100%Remote Work.

- WFH allowance: Monthly payment as financial support for remote working.

- Career Growth: We have established a career development program accessible for all employees with a 360º feedback that will help us to guide you in your career progression.

- Training: For Tech training at Zartis, you have time allocated during the week at your disposal. You can request from a variety of options, such as online courses (from Pluralsight and Educative.io, for example), English classes, books, conferences, and events.

- Mentoring Program: You can become a mentor in Zartis or you can receive mentorship, or both.

- Zartis Wellbeing Hub (Kara Connect): A platform that provides sessions with a range of specialists, including mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars with such professionals as well.

- Multicultural working environment: We organize tech events, webinars, parties, and activities to do online team-building games and contests

Data Engineer

Zartis

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