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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

  • Gender

    [ Male / Female ]

  • Job Country

    Qatar

  • Type of Job

    Full Time

  • Work Location Type

    Work from Home

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1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

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5. HOW DO YOU PROCESS INFORMATION?

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6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

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This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...