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Job Location: Mohali
Job Detail:
Associate Data Engineer
Job Summary
At XenonStack, We are committed to becoming 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.
XenonStacks DataOps team is looking for an Associate 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 Associate 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 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 will improve your outputs quality.
Technical Requirements
- Knowledge of Python, Java/Scala
- Great Statistical / SQL-based Analytical Skills
- Knowledge 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 Systems 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
- Visual Thinking
Educational Qualification: Degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.
Experience : 0-1 years
Work Engagement: In-Office
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