A Bachelor’s or Higher Degree is the minimum entry required for the position

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Job Description
- Lead the design, development, and evolution of enterprise-grade data platforms and pipelines supporting credit risk products, decisioning capabilities, and analytics solutions.
- Architect and implement scalable ETL/ELT frameworks utilizing Databricks, Spark, Delta Lake, and cloud-native technologies.
- Establish data quality, lineage, governance, observability, and monitoring capabilities to ensure trusted and compliant data products.
- Drive the migration and modernization of legacy data assets into cloud-based architectures and Data Lakehouse platforms.
- Partner with Risk, Product, Architecture, and Engineering teams to translate business requirements into scalable technical solutions.
- Define and promote engineering standards, coding practices, testing frameworks,Data Quality frameworks, deployment automation, and operational excellence across the data ecosystem.




- Lead technical design reviews and influence architectural direction for data-intensive applications and services.
- Optimize large-scale data processing workloads for performance, reliability, scalability, and cost efficiency.
- Enable AI and advanced analytics initiatives through creation of high-quality, reusable, governed data products.
- Mentor, coach, and raise the technical capability of engineers across the organization by fostering a culture of ownership, continuous learning, accountability, and engineering excellence.
- Shape strategic roadmap planning, technology evaluation, and delivery priorities across the ECR portfolio, balancing business outcomes, engineering feasibility, risk, compliance, and long-term platform sustainability.
- Support regulatory, compliance, security, and audit requirements through robust engineering controls and documentation.
- Own complex problems with dependencies across multiple services and facilitate cross-functional collaboration to drive resolution.
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📌 Tech Lead Data Engineer (Guadalajara)
🏢 Tech Mahindra
📍 Guadalajara