We are seeking a seasoned Senior Data Engineer with 12+ years of experience in designing, building, and managing scalable data pipelines and architectures. The role requires deep expertise in modern data engineering practices, cloud platforms, and enterprise-grade data solutions to support analytics, reporting, and strategic decision-making.
Key ResponsibilitiesETL/ELT Development: Design, build, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data from diverse sources.
Data Lake & Warehouse Design: Architect and implement scalable data lakes and warehouses to support analytics and BI workloads.
System Optimization: Optimize data processing frameworks for performance, scalability, and cost efficiency.
Data Security: Implement security best practices, encryption, and role-based access controls.
Data Governance: Ensure compliance with governance frameworks, data lineage, and quality standards.
Collaboration: Work closely with data scientists, analysts, and business stakeholders to deliver reliable data solutions.
Automation & CI/CD: Integrate DevOps practices for automated deployment and monitoring of data pipelines.
Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of excellence.
Programming Expertise: Advanced proficiency in Python, Scala, and/or Java for data engineering tasks.
Cloud Platforms: Hands-on experience with AWS, Azure, or GCP for building cloud-native data solutions.
Data Architecture: Strong knowledge of data modeling, warehousing, and distributed systems.
Big Data Tools: Experience with Spark, Hadoop, Kafka, or equivalent frameworks.
SQL Mastery: Expertise in writing optimized queries, stored procedures, and performance tuning.
Visualization Support: Ability to prepare curated datasets for BI tools like Power BI or Tableau.
Problem-Solving: Strong analytical and troubleshooting skills for complex data challenges.
Preferred Qualifications
Experience with containerization (Docker, Kubernetes) for data workloads.
Knowledge of real-time streaming architectures (Kafka, Kinesis, Event Hub).
Familiarity with data mesh and lakehouse architectures.
Exposure to machine learning pipelines and advanced analytics integration.
Proven track record of leading enterprise-scale data engineering projects.
Skills Required
- 12+ years of experience in data engineering
- Advanced proficiency in Python, Scala, and/or Java
- Experience with cloud platforms (AWS, Azure, GCP)
- Strong knowledge of data modeling, warehousing, and distributed systems
- Experience with Spark, Hadoop, Kafka, or equivalent frameworks
- Expertise in writing optimized SQL queries and performance tuning
Datamatics Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Datamatics Technologies and has not been reviewed or approved by Datamatics Technologies.
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Flexible Benefits — Feedback suggests flexible timings and work-from-home options are available in some roles. This flexibility is highlighted as part of the employment experience across certain postings and materials.
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Wellbeing & Lifestyle Benefits — Feedback suggests flexibility around time off and remote work supports work-life balance. These elements can help offset leaner cash components for some individuals.
Datamatics Technologies Insights
What We Do
Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains. Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence. We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities. Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices. We are working with our clients across Middle East and Africa Region.
