Senior Product Engineer
Minor Hotels Europe and Americas
full-time
Posted on:
Location Type: Office
Location: Cairo • 🇪🇬 Egypt
Visit company websiteJob Level
Senior
Tech Stack
AWSAzureCloudDockerETLGoogle Cloud PlatformHadoopKubernetesMicroservicesPythonSparkSQL
About the role
- Design, implement, and optimize ETL processes to handle large-scale data ingestion and transformation tasks.
- Build scalable, high-performance data pipelines for structured and unstructured data within the EAF context.
- Ensure data quality, reliability, and security through validation, cleansing, and enrichment routines.
- Integrate cloud platforms, databases, and APIs to create efficient data architectures for advanced analytics.
- Collaborate with data scientists, analysts, and business stakeholders to ensure data is optimized for analysis and reporting.
- Develop machine learning models, algorithms, and statistical analyses to extract valuable insights from data.
- Utilize tools such as Python, R, Spark, and SQL for data processing, feature engineering, and predictive modeling.
- Analyze large datasets to identify trends, correlations, and actionable business insights.
- Build automated data pipelines for training and deploying machine learning models into production environments.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
- 5+ years of experience in software/product development with a focus on data engineering and analytics.
- Outstanding English communication, both verbal and non-verbal.
- Strong proficiency in Python, R, SQL, and experience with big data frameworks (e.g., Spark, Hadoop).
- Hands-on experience with ETL tools, data pipeline orchestration, and cloud platforms (AWS, Azure, GCP).
- Solid understanding of machine learning techniques, statistical modeling, and data visualization.
- Familiarity with API integration, microservices, and containerization (Docker, Kubernetes).
- Excellent problem-solving skills and ability to work in Agile/DevOps environments.
Benefits
- Professional development opportunities
- Flexible working hours
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ETL processesdata ingestiondata transformationdata pipelinesdata qualitydata validationmachine learning modelsstatistical analysesfeature engineeringpredictive modeling
Soft skills
communicationproblem-solvingcollaboration