Senior Data Engineer

Job not on LinkedIn

🔥 6 hours ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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VALCE Talent Solutions

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

🤝 B2B

🎯 Recruiter

💼 Consulting

B2B • Recruitment • Consulting

VALCE Talent Solutions is a company specializing in nearshoring, IT talent acquisition, and consultancy aimed at helping businesses expand globally, particularly in Mexico, LATAM, and the United States. They offer customized solutions that include talent recruitment, workforce management, and the integration of technology and artificial intelligence to enhance business processes. With a strong focus on strategic consulting, VALCE aims to connect technology, talent, and tangible results, boasting a robust network of IT professionals and a proven track record of successful placements and project scaling.

📋 Description

• Design, develop, test, and maintain scalable data pipelines and data products supporting Enterprise Credit Risk initiatives • Build and optimize batch and real-time data processing solutions using cloud and lakehouse technologies • Translate business requirements from Risk, Product, Data Science, and Engineering teams into technical solutions • Develop reusable frameworks, components, and engineering patterns • Implement data quality controls, monitoring, alerting, and observability capabilities • Support migration and modernization of data assets and workloads into Databricks and cloud-native platforms • Build and maintain curated datasets for lending decisioning, portfolio risk management, and advanced analytics • Participate in architecture discussions and provide technical recommendations • Troubleshoot production issues and perform root cause analysis • Apply engineering best practices for code quality, testing, deployment automation, security, and operational excellence • Mentor junior engineers through code reviews, technical guidance, and knowledge sharing • Improve scalability, performance, cost efficiency, and maintainability of data platforms

🎯 Requirements

• Strong experience developing and maintaining enterprise-scale data engineering solutions • Hands-on experience with Databricks, Apache Spark, PySpark, Hadoop, SQL, and Python • Experience building ETL/ELT pipelines and large-scale data processing applications • Experience working with cloud-based data platforms and storage technologies • Strong understanding of data modeling concepts and analytical data structures • Experience implementing automated testing, monitoring, and data quality practices • Experience with data formats: Parquet, Avro, and ORC • Knowledge of CI/CD pipelines, Git-based development workflows, and DevOps principles • Experience with workflow orchestration tools such as Airflow • Strong analytical and problem-solving skills • Effective communication skills and ability to collaborate across technical and business teams • Experience mentoring or supporting less experienced engineers • Bachelor's degree in Computer Science, Engineering, Information Systems, or related STEM field, or alternatively a minimum of 5 years of experience in a related field • Advanced English • Knowledge of Java-based application development is a plus

🏖️ Benefits

• No explicit benefits, perks, or compensation extras stated