Data Engineering Manager
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Job Location:
Montevideo - Uruguay
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
What is this position about
We are looking for a Data Engineering Manager to join a high-impact Customer Insights product engagement for a global QSR client. This role is hands-on-keyboard and focused on building enterprise-grade data pipelines that power a unified Analytics ID modular data marts and a scalable feature store. The ideal candidate brings deep expertise in Databricks Spark (PySpark) SQL and large-scale identity resolution pipelines and thrives in complex production-ready data environments.
Job Description
Design and build production-grade data pipelines in Databricks using Spark/PySpark and SQL.
Develop and maintain an Analytics ID stitching pipeline using deterministic and probabilistic matching techniques across multiple customer data sources.
Build and manage modular data marts (Identity Behavior Demographics) with independent refresh cadences.
Implement and maintain a scalable feature store supporting downstream analytics and data science use cases.
Own the end-to-end data lifecycle: ingestion transformation validation deployment monitoring and optimization.
Develop data quality frameworks including schema drift detection anomaly monitoring match-rate validation and automated deduplication audits.
Implement CI/CD processes for multi-environment promotion (dev/staging/prod) in Databricks environments.
Coordinate orchestration workflows and manage dependencies using Databricks Workflows or similar tools.
Collaborate closely with Data Architects and Client stakeholders to translate business rules into scalable technical solutions.
Produce comprehensive technical documentation including data contracts lineage maps architecture diagrams and operational runbooks.
Qualifications :
5 years of experience in Data Engineering building production-grade data pipelines at scale.
Strong hands-on experience with Databricks and Apache Spark (PySpark preferred).
Advanced SQL skills (complex joins CTEs window functions performance tuning).
Experience developing identity resolution or entity matching pipelines (deterministic and/or probabilistic).
Experience designing and implementing data marts or dimensional models (Kimball or similar).
Familiarity with data quality frameworks (schema drift detection validation anomaly monitoring).
Experience implementing CI/CD for data pipelines and managing multi-environment deployments.
Strong communication skills and ability to present technical concepts to non-technical stakeholders.
Experience using Jira for ticket tracking and Confluence for documentation.
Nice to Have:
Experience with third-party data providers (Epsilon LiveRamp Neustar).
Experience with feature stores (Databricks Feature Store Feast or similar).
Knowledge of Databricks Unity Catalog.
Experience managing large-scale customer data (transactions loyalty retail/QSR data).
Experience with Delta Lake / Lakehouse architecture.
Familiarity with orchestration tools such as Airflow.
Experience working in consulting or embedded enterprise client environments.
What about languages
Advanced English level (written and spoken) required for client-facing collaboration and technical presentations.
How much experience must I have
Minimum of 5 years of professional experience in Data Engineering roles working with large-scale distributed data systems.
Additional Information :
Our Perks and Benefits:
Learning Opportunities:
- Certifications in AWS (we are AWS Partners) Databricks and Snowflake.
- Access to AI learning paths to stay up to date with the latest technologies.
- Study plans courses and additional certifications tailored to your role.
- Access to Udemy Business offering thousands of courses to boost your technical and soft skills.
- English lessons to support your professional communication.
Travel opportunities to attend industry conferences and meet clients.
Mentoring and Development:
- Career development plans and mentorship programs to help shape your path.
Celebrations & Support:
- Special day rewards to celebrate birthdays work anniversaries and other personal milestones.
- Company-provided equipment.
Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location please consult with one of our recruiters.
So what are the next steps
Our team is eager to learn about you! Send us your resume or LinkedIn profile below and well explore working together!
Remote Work :
Yes
Employment Type :
Full-time
Key Skills
- Hospitality Experience
- Go
- Management Experience
- React
- Redux
- Node.js
- AWS
- Mechanical Engineering
- Team Management
- Leadership Experience
- Mentoring
- Distributed Systems
About Company
Blend360 is an award-winning provider of data, analytics, and talent solutions for Fortune 500 companies. The company has made the Inc. 5000 list of Fastest Growing Companies every year they have been in business and has been awarded a world-class ranking in client satisfaction for th ... View more
