Senior Data Engineer
منذ 2 أسابيع
Abu Dhabi Abu Dhabi Emirate, AZ, الإمارات العربية المتحدة
Namasys Analytics
دوام كامل
مجانًا عبر البريد الإلكتروني أو Google
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مجانًا عبر البريد الإلكتروني أو Google
Job Role:
Senior Data Engineer
Location:
Abu Dhabi, UAE (Onsite)
Experience:
10+ Years Engagement Type: Contract Duration: 1 Year (Extendable)
Salary:
AED 25,000
- 26,000 (All Inclusive) + Visa Sponsorship + Medical (Only for Candidate) Notice Period: Immediate Joiners to 15 Days Preferred
About the Role
We are hiring experienced Data Engineers to join a large-scale enterprise Data & AI transformation program based in Abu Dhabi, within the energy sector. This is a high-priority, onsite engagement supporting critical data acquisition, ingestion, and pipeline development initiatives for a major enterprise data platform build-out. Responsibilities
- Design, build, and maintain scalable data pipelines using Databricks (Delta Lake, Spark, Unity Catalog, notebooks, and workflows).
- Develop and manage Azure Data Factory (ADF) pipelines, including data ingestion and linked services configuration.
- Build and maintain data ingestion and integration workflows connecting to diverse source systems, including Oracle, flat files, and APIs.
- Design and implement ETL/ELT processes to support enterprise-scale data platforms.
- Collaborate with cross-functional stakeholders to ensure reliable, high-quality data delivery across the platform.
- Troubleshoot and optimize pipeline performance in a production enterprise environment.
- Follow established data governance, security, and documentation standards. Mandatory Skills
- 10+ years of overall experience in data engineering, with strong hands-on expertise in enterprise data platforms.
- Strong hands-on experience with Databricks — Delta Lake, Spark, Unity Catalog, notebooks, and workflows.
- Proven experience with Azure Data Factory (ADF) — pipeline development, data ingestion, and linked services.
- Demonstrated experience in data ingestion and integration, connecting to source systems such as Oracle, flat files, and APIs.
- Strong grounding in ETL/ELT design principles for enterprise-scale data platforms. Good to Have
- Prior experience in energy, utilities, or other large regulated enterprise environments.
- Familiarity with data governance and cataloging practices using Unity Catalog.
- Exposure to CI/CD practices for data pipeline deployment.
- Working knowledge of Python and/or SQL for data engineering tasks.
- Experience working within large, multi-vendor program environments. Interested candidates are requested to share their resume at tarana.singh@namasys.ai
Location:
Abu Dhabi, UAE (Onsite)
Experience:
10+ Years Engagement Type: Contract Duration: 1 Year (Extendable)
Salary:
AED 25,000
- 26,000 (All Inclusive) + Visa Sponsorship + Medical (Only for Candidate) Notice Period: Immediate Joiners to 15 Days Preferred
About the Role
We are hiring experienced Data Engineers to join a large-scale enterprise Data & AI transformation program based in Abu Dhabi, within the energy sector. This is a high-priority, onsite engagement supporting critical data acquisition, ingestion, and pipeline development initiatives for a major enterprise data platform build-out. Responsibilities
- Design, build, and maintain scalable data pipelines using Databricks (Delta Lake, Spark, Unity Catalog, notebooks, and workflows).
- Develop and manage Azure Data Factory (ADF) pipelines, including data ingestion and linked services configuration.
- Build and maintain data ingestion and integration workflows connecting to diverse source systems, including Oracle, flat files, and APIs.
- Design and implement ETL/ELT processes to support enterprise-scale data platforms.
- Collaborate with cross-functional stakeholders to ensure reliable, high-quality data delivery across the platform.
- Troubleshoot and optimize pipeline performance in a production enterprise environment.
- Follow established data governance, security, and documentation standards. Mandatory Skills
- 10+ years of overall experience in data engineering, with strong hands-on expertise in enterprise data platforms.
- Strong hands-on experience with Databricks — Delta Lake, Spark, Unity Catalog, notebooks, and workflows.
- Proven experience with Azure Data Factory (ADF) — pipeline development, data ingestion, and linked services.
- Demonstrated experience in data ingestion and integration, connecting to source systems such as Oracle, flat files, and APIs.
- Strong grounding in ETL/ELT design principles for enterprise-scale data platforms. Good to Have
- Prior experience in energy, utilities, or other large regulated enterprise environments.
- Familiarity with data governance and cataloging practices using Unity Catalog.
- Exposure to CI/CD practices for data pipeline deployment.
- Working knowledge of Python and/or SQL for data engineering tasks.
- Experience working within large, multi-vendor program environments. Interested candidates are requested to share their resume at tarana.singh@namasys.ai