Position: Lead Data Engineer
Experience: 7-8 Years
We are looking for a Lead Data Engineer to design, develop, and manage scalable data platforms and data pipelines that support enterprise analytics and reporting requirements. The ideal candidate should possess strong data engineering expertise and hands-on experience with at least one of the following technologies: Informatica IDMC, Microsoft Fabric with Purview, or Databricks.
Must Have- 7-8 years of experience in Data Engineering.
- Strong experience in ETL/ELT development and data integration.
- Proficiency in SQL and data warehousing concepts.
- Experience with cloud-based data platforms, data lakes, and data warehouses.
- Hands-on experience with at least one of the following technologies: Informatica IDMC, Microsoft Fabric with Purview, or Databricks.
- Knowledge of Data Governance and Data Quality principles.
- Experience with Python, PySpark, or Spark.
- Exposure to Azure Data Factory, Snowflake, or similar cloud technologies.
- Understanding of CI/CD, DataOps, and Agile methodologies.
- Design, develop, and maintain scalable data pipelines and integration solutions.
- Lead data engineering initiatives and provide technical guidance to team members.
- Optimize data processing, storage, and performance.
- Collaborate with business and technical stakeholders to define data requirements.
- Ensure implementation of data governance, security, and quality standards.
- Microsoft Certified: Fabric Analytics Engineer Associate
- Microsoft Certified: Azure Data Engineer Associate
- Databricks Data Engineer Associate/Professional
- Informatica IDMC Certification
Skills Required
- 7-8 years of experience in data engineering
- Strong experience with ETL/ELT development and data integration
- Proficiency in SQL and data warehousing concepts
- Experience with cloud-based data platforms, data lakes, and data warehouses
- Hands-on experience with at least one of Informatica IDMC, Microsoft Fabric with Purview, or Databricks
- Knowledge of data governance and data quality principles
- Experience with Python, PySpark, or Spark
- Exposure to Azure Data Factory, Snowflake, or similar cloud technologies
- Understanding of CI/CD, DataOps, and Agile methodologies
- Microsoft Certified: Fabric Analytics Engineer Associate certification
- Microsoft Certified: Azure Data Engineer Associate certification
- Databricks Data Engineer Associate or Professional certification
- Informatica IDMC certification
Datamatics Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Datamatics Technologies and has not been reviewed or approved by Datamatics Technologies.
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Flexible Benefits — Feedback suggests flexible timings and work-from-home options are available in some roles. This flexibility is highlighted as part of the employment experience across certain postings and materials.
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Wellbeing & Lifestyle Benefits — Feedback suggests flexibility around time off and remote work supports work-life balance. These elements can help offset leaner cash components for some individuals.
Datamatics Technologies Insights
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.
