Sr. Data Engineer - AWS

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. 

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. 

Here’s why you’ll love working with us

● Lively/purposeful work culture and people oriented organization 

● 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 Organisational skills 

● Visual Thinking 

Educational Qualification : Bachelors and Master's Degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field. 

Experience : 2-4 years

Work Engagement: In-Office