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Uni Systems
AWS Data Engineer
about 13 hours ago | 13 views | 1 applications

AWS Data Engineer

Full-time
Greece

About the company

Our UniQue IT people are the most valuable part of Uni Systems; their knowledge and experience has made us the leading and reliable systems integrator of today and has contributed to our steady financial growth. We have created and are maintaining a stable working environment for our employees, with countless opportunities to innovate and thrive. Our work culture recognizes our UniQue IT people, supports the free sharing of ideas and the flow of information via open communication, while appreciating and effectively utilizing the talents, skills and perspectives of each employee. At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics.

Job Summary

Description

šŸ“Our UniQue Team is growing and in our amazing team, we are looking for a AWS Data Engineer to join us. You will be working on a number of exciting projects in a challenging, dynamic and fast-paced environment.

šŸ“Design, implement, and maintain the data architecture for all AWS data services šŸ“Optimize data models for performance and efficiency šŸ“Write SQL queries to support data analysis and reporting šŸ“Monitor and troubleshoot data pipelines šŸ“Generate reports and dashboards to visualize data šŸ“Collaborate with software engineers to design and implement data-driven features šŸ“Perform root cause analysis on data issues šŸ“Keep up to date with new AWS data services and features šŸ“Maintain documentation of the data architecture and ETL processes šŸ“Train other team members on how to use the data architecture and ETL processes

Requirements

šŸ“Bachelorā€™s degree in computer science, engineering, or related field šŸ“Minimum 3 years professional experience working with data in a business setting šŸ“Experience with AWS data services šŸ“Proficient in SQL for data analysis and manipulation šŸ“Experience with ETL (extract, transform, load) processes šŸ“Strong understanding of modern approaches to data engineering and the best approach to solve our customersā€™ unique data problems šŸ“Knowledge of SQL and Python, other languages are preferable (PySpark, Java, Scala) šŸ“Experience in Big Data technologies (Hadoop, Spark, Databricks, Snowflake) šŸ“Strong experience building ETL / ELT pipelines, Data Lakes and Data Warehouses šŸ“Experience with Apache Spark

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