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Sr. Data Engineer- Aws Job In Xenonstack Pvt @ KnowledgeWorks Global

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 Sr. Data Engineer- Aws Job In Xenonstack Pvt

Job Description

    At XenonStack, we are committed to becoming the most value-driven cloud-native, platform engineering, and decision-driven analytics company. We offer unparalleled opportunities for growth and development in a collaborative and forward-thinking environment. XenonStack's DataOps team is looking for a Senior Data Engineer who will be responsible for employing techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field. The role of an Senior Data Engineer is to be: Pipeline centric, make use of the data they collect and have in-depth knowledge of distributed systems and computer science Database centric, design and management of data lakes / data warehouses / data lake houses / analytical & time series stores You should demonstrate flexibility, creativity, and the capacity to receive and utilize constructive criticism. The ideal candidate should be highly skilled in all aspects of Python, Java/Scala, SQL, AWS and analytical 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 Good relevant experience in Azure. Requirements 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 with Strong Organizational skills & Visual Thinking. Benefits: Dynamic and purposeful work culture in a people-oriented organization contributing to multi-million-dollar projects with guaranteed job security. Open, authentic, and transparent communication fostering a warm work environment. Regular constructive feedback and exposure to diverse technologies. Recognition and rewards for exceptional performance achievements. Access to certification courses & Skill Sessions to continually develop and refine your skills. Additional allowances for team members assigned to specific projects. Special skill allowances to acknowledge and compensate for unique expertise. Comprehensive medical insurance policy for your health and well-being. To Learn more about the company- http://www.xenonstack.com/,

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Sr. Data Engineer- Aws Job In Xenonstack Pvt

Contact Details:

Company: XenonStack
Location(s): Other Punjab

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Keyskills:   Python SQL AWS Azure ETL tools Machine Learning Algorithms Distributed Systems Hadoop Spark Time Series

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KnowledgeWorks Global

KnowledgeWorks Global Ltd. (KGL) is a leading provider of transformative publishing solutions, edtech products and digital transformation solutions. KGL offers specialized content services and cutting-edge technology solutions that help our clients to increase revenue, streamline operations, and e...