Data Engineering Technical Coordinator

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Oversee the technical coordination of Mercos' Data Engineering department.

• Establish architecture, data modeling, and development standards.

• Organize the Raw, Trusted, and Refined layers.

• Ensure the solutions' quality, reliability, and efficiency.

• Create and sustain pipelines, data models, and engineering methodologies.

• Safely upgrade legacy systems while enhancing performance, observability, and cost-effectiveness.

• Build, maintain, and advance integrations between internal systems and go-to-market platforms.

• Connect centralized systems in Salesforce with Tenex, Clicksign, RD Station, and the Mercos application.

• Set priorities, allocate responsibilities, and track deliveries and performance metrics.

• Mentor team members and provide constructive feedback, fostering technical autonomy and adherence to established standards.

⛳️ Requirements

• Practical experience in Data Engineering, encompassing the development, evolution, and maintenance of pipelines and production solutions.

• Experience in leadership roles, including providing feedback, overseeing performance, facilitating professional growth, and coordinating deliveries.

• Robust experience in data architecture and modeling, specifically dimensional modeling, layer definition, and engineering standards.

• Proficient in SQL.

• Strong expertise in Python for data processing, integrations, business rules, and automated testing.

• Familiarity with Google Cloud Platform (GCP), particularly BigQuery, Cloud Storage, Cloud Run, and Cloud Functions.

• Understanding of pipeline orchestration, version control, CI/CD, observability, and data quality and reliability practices.

• Capability to make technical decisions that consider maintainability, performance, costs, and operational continuity.

• Practical knowledge of Artificial Intelligence tools used in software development, with the ability to critically assess their outcomes and potential applications.

• Preferred: experience with generative AI applications or agents.

• Preferred: background in data governance, access control, traceability, and ensuring reliable data availability.

• Preferred: experience modeling SaaS metrics, such as MRR, ARR, churn, revenue expansion, and contraction.

• Preferred: familiarity with Airflow, Cloud Composer, Workflows, Dataform, and Docker.

🏝️ Benefits

• Remote work at a Remote First company.

• CLT employment contract exclusively.

• Well-defined Individual Development Plan (IDP).

• Culture of feedback with regular one-on-one meetings.

• PLR — Profit-Sharing and Results Program.

• Home office allowance.

• Meal and food allowances provided through the Caju flexible benefits card.

• Budget for setting up your home office.

• Comprehensive national health and dental insurance coverage.

• Access to Moodar for online psychological support, extended to family members.

• Access to an educational platform offering full scholarships for undergraduate and graduate programs, professional courses, language studies, and MBAs.

• Wellhub membership promoting physical activities and overall well-being.

• Extended parental leave: 6 months of maternity leave and 20 days of paternity leave.

• Day off during your birthday month.

• Referral bonus.

• Livro Livre book benefit.

• Collaborations with educational and language institutions.

• Opportunities for training sessions and workshops.

• Annual trips to Joinville, Santa Catarina, for in-person gatherings.

• Company laptop ownership transferred after 48 months of use.

• Monthly happy hours, both in-person and remote.

• Optional annual flu vaccination.

• Special gifts sent on commemorative dates.

• Compensation review policies aligned with market standards.