Data Engineer

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CRG Solutions

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

🏢 Enterprise

🤝 B2B

🎯 Recruiter

Enterprise • B2B • Recruitment

CRG Solutions is an IT consulting and engineering firm that delivers managed IT services, enterprise engineering (networks, data centers, cloud, collaboration, and programmability), and talent solutions such as staff augmentation, talent search, nearshoring, and build-operate-transfer. The company also provides automation and digital transformation services (including AI, IoT, RPA), 24/7 help desk and NOC operations, and industry-focused technology support for sectors like healthcare, education, and travel. With roughly 29 years’ experience and operations in LATAM and the US, CRG focuses on helping enterprise clients manage and modernize their technology infrastructure.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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.