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AI Summary
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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