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Job Description & How to Apply Below
We are looking for an experienced strong Data Engineer strong with strong expertise in building scalable strong ETL ELT pipelines data integration frameworks and cloud-based data solutions strong The candidate will be responsible for developing reliable data platforms to support enterprise analytics AI and reporting requirements strong Key Responsibilities
Key Responsibilities- Design develop and maintain scalable strong ETL ELT data pipelines build data integration and transformation solutions using cloud technologies develop strong data models data warehouses and real-time data processing strong solutions implement data quality validation security and performance optimisation practices support strong AI ML and analytics workloads strong and collaborate with Data Scientists and business teams implement strong CI CD and MLOps strong practices for automated and reliable data deployments Databricks, Azure Data Factory, Azure Data Lake Py Spark , Python, SQL, Delta Lake Kafka / Real-time data processingETL/ELT, Data Modelling & Data Warehousing Data Quality & Performance OptimisationCI/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 Py Spark
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