Data Engineer OCI Data Lakehouse DLH Projects

Datamatics Technologies; Abu Dhabi; On-site; AED 279,000 - 446,000; Full time

Job summary

Datamatics Technologies in UAE seeks a Data Engineer for OCI Data Lakehouse projects, focusing on designing, building, and optimizing scalable data pipelines, ingestion frameworks, and data products for analytics and AI/ML initiatives.

You will work with actuarial, underwriting, claims, finance and business teams to transform raw data into trusted assets that drive strategic decisions within OCI DLH architectures.

Qualifications

• Advanced proficiency in SQL and Python development.
• Strong experience building modern data pipelines on cloud-native platforms.
• Solid understanding of Delta Lakehouse architecture and data versioning.

Responsibilities

• Design, build, and maintain scalable data ingestion, transformation, and orchestration pipelines.
• Develop ETL/ELT processes for enterprise data integration and analytics.
• Implement Delta Lakehouse architectures with ingestion, curation, and consumption layers.
• Model datasets and analytics on Oracle ADW.
• Collaborate with stakeholders to translate requirements into reusable data products.
• Manage storage and governance for OCI Data Lakehouse, including lifecycle policies.
• Tune SQL and Spark workloads and monitor data processing efficiency.

Skills

SQL

Python

Spark

Data pipelines

OCI Data Flow

ODI

Tools

ODI

Oracle ADW

OCI Object Storage

AIDP

Job description

Job Description:

Data Engineer – OCI Data Lakehouse (DLH) Projects

Location: UAE

Employment Type: Full-Time

Department: Data Management Office

Experience: 7+ Years

Role Overview

Highly skilled Data Engineer for a Data Management Office and to play a key role in advancing enterprise OCI Data Lakehouse (DLH) initiatives. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines, ingestion frameworks, and data products that support business analytics, regulatory reporting, and AI/ML-driven innovation.

Working closely with cross-functional stakeholders across Actuarial, Underwriting, Claims, Finance, and Business teams, the Data Engineer will help transform raw data into trusted, high-value data assets that drive strategic decision-making.

Key Responsibilities

Data Engineering & Pipeline Development Design, build, and maintain scalable data ingestion, transformation, and orchestration pipelines using OCI Data Flow, Oracle Data Integrator (ODI), and AIDP.

Develop robust ETL/ELT processes to support enterprise data integration and analytics requirements. Implement and manage Delta Lakehouse architectures, including ingestion, curation, and consumption layers. Data Modeling & Analytics Enablement Design and optimize analytical data models, data marts, and datasets on Oracle Autonomous Data Warehouse (ADW).

Ensure data structures are aligned with business reporting, operational analytics, and advanced AI/ML use cases. Collaborate with business stakeholders to translate requirements into scalable technical solutions and reusable data products. Data Lakehouse & Storage Management Manage both structured and unstructured datasets within OCI Object Storage. Implement storage lifecycle strategies, governance policies, and cost optimization measures.

Ensure efficient organization and accessibility of enterprise data assets across the Data Lakehouse ecosystem. Architecture, Quality & Governance Partner with data architects to create reusable and high-performance ingestion frameworks for new initiatives. Embed data quality, lineage, metadata management, and governance controls into all data pipelines. Drive continuous improvements in platform performance, scalability, and reliability.

Performance Optimization Tune and optimize SQL workloads, Spark jobs, ETL processes, and ADW performance. Monitor data processing efficiency and proactively resolve bottlenecks to ensure optimal platform utilization.

Required Skills & Experience

OCI Data Platform Expertise Strong hands-on experience with the following Oracle Cloud Infrastructure services: Oracle Autonomous Data Warehouse (ADW) OCI Object Storage OCI Data Flow (Apache Spark) Oracle Data Integrator (ODI) Oracle AI Data Platform (AIDP)

Technical Competencies

Advanced proficiency in SQL and Python development. Strong experience in performance tuning, optimization, and troubleshooting of large-scale data workloads. Hands-on experience building modern data pipelines and cloud-native data platforms, preferably on Oracle Cloud Infrastructure (OCI). Solid understanding of Delta Lakehouse architecture, Medallion Architecture, data versioning, and modern data engineering best practices.

Domain Knowledge

• Policy Administration
• Claims Management
• Underwriting
• Finance & Regulatory Reporting (Preferred but not mandatory.)

Soft Skills

Strong analytical and problem-solving capabilities. Effective communication and stakeholder management skills. Ability to work collaboratively across business and technology teams in a fast-paced environment.

Preferred Qualifications

Experience with Oracle GoldenGate for real-time data replication and Change Data Capture (CDC) pipelines. Familiarity with modern data governance, metadata management, and data observability frameworks. Exposure to AI/ML data preparation and feature engineering workflows within enterprise Data Lakehouse environments.

Must Have

• OCI Data Platform Expertise - Strong hands-on experience with the following Oracle Cloud Infrastructure services: Oracle Autonomous Data Warehouse (ADW), OCI Object Storage, OCI Data Flow (Apache Spark), Oracle Data Integrator (ODI), Oracle AI Data Platform (AIDP)
• Advanced proficiency in SQL and Python development.
• Strong experience in performance tuning, optimization, and troubleshooting of large-scale data workloads.
• Hands-on experience building modern data pipelines and cloud-native data platforms, preferably on Oracle Cloud Infrastructure (OCI).
• Solid understanding of Delta Lakehouse architecture, Medallion Architecture, data versioning, and modern data engineering best practices.

Good to Have

• Experience with Oracle GoldenGate for real-time data replication and Change Data Capture (CDC) pipelines.
• Familiarity with modern data governance, metadata management, and data observability frameworks.
• Exposure to AI/ML data preparation and feature engineering workflows within enterprise Data Lakehouse environments.