Data Engineer

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Minor Hotels Europe and Americas

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1978

👥 B2C

💰 Post-IPO Equity on 2018-05

B2C • Hospitality • Travel

Minor Hotels Europe and Americas is a hospitality company that operates a diverse portfolio of hotels and resorts across Europe and the Americas. The company focuses on delivering exceptional guest experiences through high-quality service and unique accommodations, catering to both leisure and business travelers.

📋 Description

• Design, develop, and support data replication and integration solutions using HVR • Design, build, and maintain scalable data pipelines using Databricks (Spark, Delta Lake) • Develop and optimize ETL/ELT processes for structured and unstructured data • Work with large datasets to ensure data quality, integrity, and performance optimization • Implement data models and transformations for analytics and reporting • Collaborate with data scientists and analysts to enable advanced analytics and ML workloads • Integrate data from multiple sources including databases, APIs, and streaming systems • Optimize Spark jobs for performance tuning and cost efficiency • Implement data governance, security, and access controls • Monitor and troubleshoot data pipelines and production issues • Support CI/CD pipelines and DevOps best practices for data engineering workflows • Support data migration and modernization initiatives. • Create operational documentation, runbooks, and support procedures. • Participate in production support, issue resolution, and performance tuning activities.

🎯 Requirements

• Bachelor’s degree in computer science, Engineering, or related field • Hands-on experience with data engineering or big data development • Strong knowledge of: SQL / Oracle / SQL Server • Java / JavaScript (preferred) • Web-based applications and APIs (REST/SOAP) • Strong experience with: Databricks Platform • Apache Spark (PySpark/Scala) • SQL & Python • Experience with Delta Lake and data lake architecture • Hands-on experience with cloud platforms (Azure, AWS, or GCP) • Familiarity with data orchestration tools (Azure Data Factory, Airflow, etc.) • Knowledge of data warehousing concepts (Star schema, Snowflake schema) • Experience with version control (Git) and CI/CD pipelines • Strong understanding of data pipeline optimization and performance tuning

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities