Minimum 4+ years of hands-on experience in data engineering or data management, preferably in the energy or industrial domain.
• Design, develop, and maintain scalable ETL/ELT pipelines to process structured and unstructured data from diverse sources including SAP ECC / S/4HANA, SQL Server, Oracle, other RDBMS, Excel/CSV files, Parquet, JSON, XML, and APIs.
• Collaborate with business and functional teams to define data integration and transformation strategies aligned with enterprise objectives.
• Optimize data pipelines, storage, and query performance for high-volume datasets across cloud or on-prem environments.
• Implement robust data quality, validation, and monitoring frameworks to ensure accuracy and reliability.
• Develop and automate data workflows, versioning, and deployment pipelines to streamline data operations.
• Support the deployment, monitoring, and governance of data infrastructure and warehouse/lakehouse environments.
• Work closely with Data Architects to establish best practices for data modeling, warehousing, and lineage tracking.
• Enable incremental data processing (CDC) and efficient handling of batch and near real-time data pipelines.
• Collaborate with analytics teams to enable insightful visualization and reporting solutions.
• Prepare and maintain technical documentation for pipelines, transformations, and data flows.
• Collaborate with business stakeholders to understand requirements and ensure alignment with business goals.
Qualification and Experience:
• BE/ / Science Graduate in Computer Science, Information Technology, or related field.
• Strong foundation in data modeling, performance tuning, and ETL/ELT orchestration.
• Experience working with enterprise data sources such as SAP ECC / S/4HANA, SQL/Oracle databases, and file-based data (Excel, CSV, Parquet, JSON).
• Experience with one or more cloud platforms such as Azure, AWS, or GCP.
• Familiarity with tools such as Microsoft Fabric, Databricks, Power BI, or equivalent tools is an advantage.
• Experience in data migration or transformation projects is a strong advantage.
• Understanding of data governance, data quality, and metadata/lineage concepts is a plus.
Key Deliverables:
• ETL/ELT pipelines for all assigned data sources
• Data ingestion from SAP, databases, files, and APIs
• Bronze/Silver/Gold data layer implementation
• Data quality checks and monitoring setup
• Optimized and scalable data pipelines
• Develop the Power BI dashboard.
• Technical documentation and runbooks
Experience
4 - 10 Years
No. of Openings
3
Education
Graduate (B.Arch, B.B.A, B.Sc, B.Tech/B.E)
Role
Data Engineer
Industry Type
IT-Hardware & Networking / IT-Software / Software Services
Gender
[ Male / Female ]
Job Country
Qatar
Type of Job
Full Time
Work Location Type
Work from Home