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About the role
Job Responsibilities - Develop, construct, test and maintain Data Platform Architectures Align Data Architecture with business requirements Liaising with coworkers and clients to elucidate the requirements for each task. Scalable and High Performant Data Platform Infrastructure that allows big data to be accessed and analyzed quickly by BI AI Teams . Reformulating existing frameworks to optimize their functioning. Transforming Raw Data into InSights for manipulation by Data Scientists. Ensuring that your work remains backed up and readily accessible to relevant coworkers. Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs. Technical Requirements - Experience of Python, Java/Scala Great Statistical / SQL based Analytical Skills Experience of Data Analytics Architectural Design Patterns for Batch , Event Driven and Real-Time Analytics Use Cases Understanding of Data warehousing, ETL tools, machine learning, Data EPIs Excellent in Algorithms and Data Systems Understanding of Distributed System for Data Processing and Analytics Familiarity with Popular Data Analytics Framework like Hadoop , Spark , Delta Lake , Time Series / Analytical Stores Stores . Qualified Attributes - Excellent communication skills Attention to detail Analytical mind and Problem Solving Aptitude Strong Organizational skills Job Responsibilities - Develop, construct, test and maintain Data Platform Architectures Align Data Architecture with business requirements Liaising with coworkers and clients to elucidate the requirements for each task. Scalable and High Performant Data Platform Infrastructure that allows big data to be accessed and analyzed quickly by BI AI Teams . Reformulating existing frameworks to optimize their functioning. Transforming Raw Data into InSights for manipulation by Data Scientists. Ensuring that your work remains backed up and readily accessible to relevant coworkers. Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs. Technical Requirements - Experience of Python, Java/Scala Great Statistical / SQL based Analytical Skills Experience of Data Analytics Architectural Design Patterns for Batch , Event Driven and Real-Time Analytics Use Cases Understanding of Data warehousing, ETL tools, machine learning, Data EPIs Excellent in Algorithms and Data Systems Understanding of Distributed System for Data Processing and Analytics Familiarity with Popular Data Analytics Framework like Hadoop , Spark , Delta Lake , Time Series / Analytical Stores Stores . Qualified Attributes - Excellent communication skills Attention to detail Analytical mind and Problem Solving Aptitude Strong Organizational skills
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