Data Engineer

Job Description Roles & Responsibilities We are looking for an experienced Data Engineer with strong expertise in building scalable ETL/ELT pipelines, data integration frameworks, and cloud-based data solutions. The candidate will be responsible for developing reliable data platforms to support enterprise analytics, AI, and reporting requirements. Key Responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines. Build data integration and transformation solutions using cloud technologies. Develop data models, data warehouses, and real-time data processing solutions. Implement data quality, validation, security, and performance optimisation practices. Support AI/ML and analytics workloads and collaborate with Data Scientists and business teams. Implement CI/CD and MLOps practices for automated and reliable data deployments. Desired Candidate Profile Databricks, Azure Data Factory, Azure Data Lake PySpark, Python, SQL, Delta Lake Kafka / Real-time data processing ETL/ELT, Data Modelling & Data Warehousing Data Quality & Performance Optimisation CI/CD, MLOps and Cloud Data Engineering Education: Bachelor’s/Master’s degree in Computer Science, Engineering, Data Engineering, or a related field. Skills Databricks Azure Data Factory PySpark Employment Type Full-time Company Industry RecruitmentPlacement FirmExecutive Search Department / Functional Area Engineering Keywords ETL ProcessesData Pipeline EngineerData Systems EngineerAnalytics EngineerSQLData QualityCloud ComputingNoSQL Get real-time job updates only on our App