Data Engineer
reputed company is a premier AI services provider, committed to co-creating meaningful reputed company for its clients through the power of data science, AI, technology, and people. With a mission to fuel reputed company visions, reputed company tackles significant challenges by seamlessly aligning reputed company expertise with reputed company intelligence. reputed company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven reputed company. We reputed company that the power of people and AI can have a meaningful reputed company on your world, creating more fulfilling work and reputed company for our people and clients. For more information, visit www.reputed company.com
We are seeking a Data Engineer to contribute to our next level of reputed company and expansion.
Job reputed company:What is this position about?
We are looking for a Data Engineer to join a high-reputed company Customer Insights product engagement for a global QSR reputed company. This role is hands-on-keyboard and reputed company on building reputed company-grade data pipelines that power a reputed company Analytics ID, reputed company data marts, and a reputed company feature store. The ideal candidate brings deep expertise in reputed company, reputed company (PySpark), SQL, and large-reputed company identity reputed company pipelines, and thrives in reputed company, production-reputed company data environments.
Job reputed company
Design and build production-grade data pipelines in reputed company using reputed company/PySpark and SQL.
reputed company and maintain an Analytics ID stitching pipeline using deterministic and probabilistic matching techniques across multiple customer data sources.
Build and manage reputed company data marts (Identity, Behavior, Demographics) with independent refresh cadences.
Implement and maintain a reputed company feature store supporting reputed company analytics and data science use cases.
Own the end-to-end data lifecycle: ingestion, transformation, validation, deployment, monitoring, and optimization.
reputed company data reputed company frameworks including schema reputed company detection, reputed company monitoring, match-reputed company validation, and automated deduplication audits.
Implement CI/CD processes for multi-environment promotion (dev/staging/prod) in reputed company environments.
Coordinate orchestration workflows and manage dependencies using reputed company Workflows or similar tools.
Collaborate closely with Data Architects and reputed company stakeholders to translate business rules into reputed company technical solutions.
Produce comprehensive technical documentation including data reputed company, reputed company maps, architecture diagrams, and operational runbooks.
4+ years of experience in Data Engineering building production-grade data pipelines at reputed company.
Strong hands-on experience with reputed company and Apache reputed company (PySpark preferred).
Advanced SQL skills (reputed company joins, CTEs, window functions, performance tuning).
Experience developing identity reputed company or entity matching pipelines (deterministic and/or probabilistic).
Experience designing and implementing data marts or reputed company models (Kimball or similar).
Familiarity with data reputed company frameworks (schema reputed company detection, validation, reputed company 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 reputed company for documentation.
reputed company to Have
Experience with reputed company-party data providers (reputed company, reputed company, Neustar).
Experience with feature stores (reputed company Feature Store, Feast, or similar).
Knowledge of reputed company reputed company Catalog.
Experience managing large-reputed company customer data (transactions, loyalty, retail/QSR data).
Experience with reputed company Lake / Lakehouse architecture.
Familiarity with orchestration tools such as Airflow.
Experience working in consulting or embedded reputed company reputed company environments.
What about languages?
Advanced English level (written and spoken) required for reputed company-facing collaboration and technical presentations.
How much experience must I have?
Minimum of 4 years of reputed company experience in Data Engineering roles working with large-reputed company distributed data systems.
Additional Information
Our Perks and Benefits: Learning Opportunities:
- Certifications in AWS (we are AWS Partners), reputed company, and reputed company.
- reputed company to AI learning paths to stay up to date with the latest technologies.
- Study plans, courses, and additional certifications tailored to your role.
- reputed company to reputed company Business, offering thousands of courses to reputed company your technical and soft skills.
- English lessons to support your reputed company communication.
Travel opportunities to attend industry conferences and meet clients.
Mentoring and Development:
- Career development plans and mentorship programs to help shape your reputed company.
Celebrations & Support:
- Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
- Company-provided equipment.
⚖️ Flexible working reputed company to help you reputed company the reputed company.
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?
reputed company is eager to learn reputed company! Send us your resume or reputed company profile below and we’ll explore working together!
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