Seniority: Senior · Location: Buenos Aires, Argentina or Brazil · Work model: Hybrid, with 2 days per week in the Buenos Aires office, or fully remote from Brazil · Employment type: Full-time
About the company
Our client is a Brazilian technology company delivering technology projects for large clients, with operations extending into the United Kingdom and across Latin America. The business works in an international environment and partners with major organizations on complex technology initiatives. This is an opportunity to join a company expanding its Latin American talent base and contribute to projects with broad regional and global reach.
About the role
This role is for a hands-on Senior Data Engineer who will develop and evolve data solutions in a complex, international environment. You will work end to end across the Data Engineering lifecycle, from ingestion and integration through modeling, transformation, orchestration and data delivery. The role contributes technically to the squad and involves direct collaboration with technical and business teams, as well as local and global stakeholders.
What you'll do
- Design, build and maintain end-to-end data pipelines on GCP.
- Work directly on data ingestion, transformation, modeling, orchestration and delivery.
- Develop and optimize solutions using BigQuery.
- Build orchestration processes using Cloud Composer/Airflow.
- Develop solutions using Python and SQL.
- Integrate data from different systems and sources, such as SAP, Salesforce, APIs and databases.
- Take part in defining data models and turn the modeling into technical implementation and code.
- Build integration solutions using batch processing, APIs and/or events/streaming.
- Work on the harmonization, quality and consolidation of data from different sources.
- Diagnose and solve technical issues related to pipelines, integrations, processing, performance and the GCP environment.
- Evaluate solutions in terms of performance, scalability, cost and maintainability.
- Interact directly with technical and business teams and with local and global stakeholders.
- Contribute technically to the squad and support other professionals when needed.
Must-have
- At least 3 years of hands-on experience with GCP.
- Solid, proven experience as a hands-on Data Engineer.
- Experience building end-to-end data pipelines.
- Hands-on experience with BigQuery.
- Hands-on experience with Cloud Composer/Airflow.
- Strong SQL skills.
- Hands-on experience with Python.
- Experience with ETL/ELT, data ingestion and transformation.
- Consistent experience with data modeling.
- Experience integrating different systems, sources and databases.
- Strong troubleshooting skills and the ability to solve problems autonomously.
- Ability to work autonomously in a high-demand environment.
- Advanced English, with the ability to take part in and lead technical discussions with global teams.
- Advanced Spanish for professional interaction with Latin American teams.
- A degree in Computer Science, Engineering, Information Systems or a related field.
Nice-to-have
- Experience with Master Data Management (MDM) / Reltio.
- Experience with Golden Record, Customer 360, matching/deduplication or survivorship rules.
- Experience with SAP ECC/S4HANA.
- Experience with Salesforce.
- Experience with Kafka or Pub/Sub.
- Experience with REST APIs.
- Experience with Dataflow, Dataproc, Dataform and Analytics Hub.
- Experience with Medallion architecture, dimensional modeling and/or Data Vault.
- Experience with AWS-to-GCP migration projects or multi-cloud environments.
- DevOps/CI/CD knowledge.
- Google Cloud certifications.
What's offered
- Hybrid work with 2 days per week in the Buenos Aires office, or fully remote work from Brazil.
- The opportunity to work on complex technology projects for large clients.
- An international environment with collaboration across Latin American and global teams.
- Exposure to a broad data engineering landscape spanning ingestion, integration, modeling, orchestration and data delivery.
Hiring process
- Intro call with our recruitment team.
- English and Spanish language screening.
- Technical screening.
- Interview with the hiring team.
- Offer.