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We are seeking a talented and experienced Data Engineer to join our dynamic team working in the finance services industry. Your work will empower data-driven decision-making, enhance business intelligence, and drive innovation in the financial domain. You’ll collaborate with cross-functional teams to create scalable solutions that leverage cutting-edge technologies. Responsibilities: Building and Maintaining Data Pipelines and Automation : Developing ETL (Extract, Transform, Load) pipelines to ingest, clean, transform, and load data from various sources into Azure data stores and Databricks clusters. This may involve writing code in languages like Python or SQL, as well as utilizing tools like Azure Integration Services for distributed processing. Data Modelling and Optimization : Designing and implementing data models that optimize business reporting and optimized for Power BI application. Architecting Data Solutions : Actively taking part in end-to-end data solutions using Azure Cloud services. This involves understanding business requirements and selecting appropriate Azure components to meet those needs. Performance Optimization : Optimize data pipelines for performance, reliability, and cost-effectiveness. Monitor data processing efficiency and propose enhancements. Data Quality and Governance : Investigate and address data quality issues. Implement data governance practices to ensure compliance and security.

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