Senior Data Engineer Cloud And Analytics - RibbitZ
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About the Role
Our client RibbtZ is looking for Senior Data Engineer (Cloud Analytics) to work remotely. Role Summary We are seeking a highly skilled Senior Data Engineer with strong expertise in cloud-based data platforms, big data processing, and modern data architectures.
Key Skills for This Role
Full Job Posting
Job Description
Our client
Ribbtz
is looking for
Senior Data Engineer (Cloud Analytics)
to work
remotely.
Role Summary
We are seeking a highly skilled
Senior Data Engineer
with strong expertise in cloud-based data platforms, big data processing, and modern data architectures.
The ideal candidate will have hands-on experience in building scalable data pipelines, implementing lakehouse architectures, and enabling advanced analytics and machine learning use cases across enterprise environments.
Data Engineering & Architecture
- Design and implement scalable data pipelines (ETL/ELT) for batch and real-time processing.
- Build and maintain modern data platforms using lakehouse architecture (Bronze, Silver, Gold layers).
- Develop and optimize data models (star/snowflake schemas) for analytics and reporting.
- Ensure high data quality, integrity, and governance across systems.
Cloud & Platform Management
- Develop and deploy solutions on Microsoft Azure and/or AWS ecosystems.
- Work with services such as:
- + Azure Data Factory, Azure Databricks, ADLS Gen2
+ AWS S3, Redshift, EMR, Glue, Lambda
- Implement secure, scalable, and cost-efficient data storage solutions.
Big Data & Processing
- Develop large-scale data processing workflows using:
+ Kafka, Hive, Hadoop, Airflow
- Optimize performance of distributed data processing systems.
Microsoft Fabric & Lakehouse (Preferred)
- Implement Microsoft Fabric-based data solutions including:
- + Lakehouse architecture
- + Medallion design (Bronze/Silver/Gold)
- + Delta Lake optimization
- Build Fabric pipelines and integrate with Power BI.
Data Integration & Migration
- Lead data migration initiatives from legacy/on-prem systems to cloud platforms.
- Integrate multiple data sources (SAP, Oracle, SQL Server, APIs, etc.).
- Implement incremental data loading and performance optimization techniques.
Analytics & Bi Enablement
- Enable business intelligence and reporting using tools like:
+ Power BI, SSRS, Kibana, Grafana
- Implement Row-Level Security (RLS) and data access controls.
- Machine Learning & Advanced Analytics (Good to Have)
- Support ML pipelines using frameworks such as:
+ Scikit-learn, TensorFlow, PyTorch, Keras
- Collaborate with data scientists for model deployment and integration.
Devops & Automation
- Implement CI/CD pipelines using Azure DevOps/Git.
- Use Docker for containerization.
- Automate data validation, monitoring, and deployment processes.
Monitoring, Security & Governance
- Implement monitoring using Azure Monitor, Log Analytics, etc.
- Ensure compliance with data governance frameworks (e.g., Purview).
- Maintain security standards using Key Vault, IAM, and encryption mechanisms.
Required Skills & Qualifications
- Strong programming skills in Python and/or Java
- Advanced SQL and data warehousing concepts
- Hands-on experience with:
+ Spark And PySpark
+ ETL/ELT pipeline development
+ Data modeling and optimization
Cloud Expertise
- Experience with Microsoft Azure (preferred) or AWS
- Exposure to Databricks, ADF, ADLS, Snowflake is highly desirable
Tools & Technologies
- Git, Docker, CI/CD pipelines
- BI tools (Power BI preferred)
Experience Requirements
- 7–10 years of experience in Data Engineering / Big Data
- Proven experience in:
- + Designing scalable data architectures
- + Cloud data platform implementations
- + Data migration and transformation projects
Educational Qualifications
- Bachelors degree in Computer Science, Engineering, or related field
- Certifications in Azure/AWS/Data Engineering are a plus
Soft Skills
- Strong problem-solving and analytical thinking
- Ability to work in Agile/DevOps environments
- Excellent stakeholder communication and collaboration skills
- Ability to lead technical discussions and mentor junior engineers
- Nice to Have
- Experience with Microsoft Fabric
- Exposure to real-time streaming architectures
- Knowledge of AI/ML pipelines
Experience In
enterprise-scale data governance
Job Details
Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: http://www.taraki.co Job Function: Information Technology (IT) Company Industry/
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