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At XenonStack, We committed to become the Most Value Driven Cloud Native, Platform Engineering and Decision Driven Analytics Company. Our Consulting Services and Solutions towards the Neural Company and its Key Drivers.
Here’s why you’ll love working with us -
Lively/purposeful work culture and people oriented organisation
Exposure to working on enterprise national and international $million projects
Complete job and employee security
Warm, authentic and transparent communication
Time to time feedback and exposure to different technologies
Appreciation and rewards on performance achievements.
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 .
Professional Attributes -
Excellent communication skills
Attention to detail
Analytical mind and Problem Solving Aptitude
Strong Organizational skills
Educational Qualification : Degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.