Lead Data Engineer

🏢 Datamatics Global Service
📍 United Arab EmiratesFull-timeOn-site
📅 Posted: 1w ago🔄 Updated: 1w ago
CV%
✨ AI Summary
We are seeking a Lead Data Engineer with 7-8 years of experience to design, develop, and manage scalable data platforms and pipelines for enterprise analytics. The role requires strong expertise in ETL/ELT, SQL, data warehousing, and cloud data platforms, with hands-on experience in Informatica IDMC, Microsoft Fabric with Purview, or Databricks. Responsibilities include leading data engineering initiatives, optimizing data processes, and collaborating with stakeholders to ensure data governance, security, and quality standards are met. Experience with Python, PySpark, Spark, Azure Data Factory, Snowflake, CI/CD, DataOps, and Agile methodologies is preferred.
Required Skills
Information Technology
InformaticaData WarehouseSnowflakeData Platforms
Productivity & Workplace Tools
Microsoft Fabric
Other
DataOps
Requirements
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, and hands-on experience with Informatica IDMC, Microsoft Fabric with Purview, or Databricks. Knowledge of Data Governance and Data Quality principles is also required.
Description
Position: Lead Data EngineerExperience: 7-8 YearsJob SummaryWe 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 Have7-8 years of experience in Data EngineeringStrong experience in ETL/ELT development and data integrationProficiency in SQL and data warehousing conceptsExperience with cloud-based data platforms, data lakes, and data warehousesHands-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 principlesGood to HaveExperience with Python, PySpark, or SparkExposure to Azure Data Factory, Snowflake, or similar cloud technologiesUnderstanding of CI/CD, DataOps, and Agile methodologiesKey ResponsibilitiesDesign, develop, and maintain scalable data pipelines and integration solutionsLead data engineering initiatives and provide technical guidance to team membersOptimize data processing, storage, and performanceCollaborate with business and technical stakeholders to define data requirementsEnsure implementation of data governance, security, and quality standardsPreferred CertificationsMicrosoft Certified: Fabric Analytics Engineer AssociateMicrosoft Certified: Azure Data Engineer AssociateDatabricks Data Engineer Associate/ProfessionalInformatica IDMC Certification
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00