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CRG Solutions

Data Engineer - West Monroe

Posted 2 months ago
5-10 years experience
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AI Summary

Design, develop, and maintain scalable data pipelines and metadata-driven ETL/ELT solutions using Databricks and Spark. Collaborate with cross-functional teams to support AI/ML initiatives and create curated datasets for visualization platforms.

CRG Costa Rica is seeking an experienced Data Engineer to join a high-impact international project. This role will be responsible for designing, building, and delivering scalable data solutions that support analytics, business intelligence, and AI-driven initiatives.

The ideal candidate combines strong hands-on technical expertise with the ability to collaborate across cross-functional teams, ensuring data solutions meet quality, reliability, performance, and governance standards.

Key Responsibilities

  • Design, develop, and maintain scalable, secure, and reliable data pipelines using Databricks, Spark, and cloud-native technologies.

  • Build and optimize metadata-driven ETL/ELT pipelines.

  • Integrate data from multiple internal and external systems into analytics-ready datasets.

  • Support AI/ML and advanced analytics initiatives through high-quality data assets.

  • Implement data quality controls, monitoring, and validation frameworks.

  • Troubleshoot data pipeline failures and resolve production issues.

  • Optimize data processing performance and ensure operational reliability.

  • Collaborate with Data Science, Analytics, Product, and Engineering teams.

  • Develop curated datasets for reporting and visualization platforms such as Tableau and Power BI.

  • Provide technical mentorship and contribute to engineering best practices.

Required Qualifications

  • 5+ years of professional experience in Data Engineering.

  • 3+ years of hands-on experience with Databricks and Apache Spark.

  • Advanced SQL skills, including complex transformations and query optimization.

  • Strong experience designing and implementing ETL/ELT solutions.

  • Experience with distributed data processing and streaming technologies such as Kafka, Kinesis, Hadoop, or Spark Streaming.

  • Experience with ETL orchestration tools such as Azure Data Factory, AWS Glue, Informatica, Talend, or IBM DataStage.

  • Experience supporting production environments, troubleshooting issues, and resolving data-related incidents.

  • Strong communication and stakeholder management skills.

  • Professional-level English communication skills.

Preferred Qualifications

  • Experience working with AWS-based data platforms.

  • Exposure to Analytics, Business Intelligence, and AI/ML solutions.

  • Previous consulting experience.

What We Offer

  • Opportunity to work on innovative data and AI initiatives.

  • Collaboration with global teams and industry-leading technologies.

  • Dynamic and fast-paced environment focused on innovation and continuous improvement.

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