Sr. Data Engineer - AWS @ Xenonstack

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.

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.

Good relevant experience in AWS.

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 Degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.

Experience : 2-4 years