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.
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.
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