Snowflake Data Engineer

Key Skills

AWS, Azure, Data Lake, Data Warehousing, ETL frameworks, Git, Optimization, Python Programming, Snowflake, SQL, Transformer

Job Description

Eviden is an Atos Group business with an annual revenue of circa € 5 billion and a global leader in data-driven, trusted and sustainable digital transformation. As a next generation digital business with worldwide leading positions in digital, cloud, data, advanced computing and security, it brings deep expertise for all industries in more than 53 countries. By uniting unique high-end technologies across the full digital continuum with 57,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.

Your main responsibilities will be: 

• The ability to design, implement, and optimize large-scale data and analytics solutions on Snowflake Data Engineering

• Implementing ETL pipelines within and outside of a data warehouse using Python and Snowflakes Snow SQL 
• Querying Snowflake using SQL Syntax 
• Development of scripts using Python for loading, extracting, and transforming data. 
• Assist with production issues in Data Warehouses like loading data, transformations, and translations 

Knowledge, Skills, and Abilities:

• Experience with Snowflake data engineering / data warehousing 
• Experience in the implementation, execution, and maintenance of Data Integration technology solutions 
•  Understanding of enterprise data management concepts ( Data Ingestion, Data Lake, Data Warehouse, Data Engineering ,Data Sharing, Data Applications) 
•  Hands-on expertise with SQL

• Understanding of the competitive ETL space in cloud data warehousing 
• Working knowledge of software engineering best practices 
• Experience with GIT 
• Knowledge of Azure or AWS 
• Transform, replicate, and share data across cloud platforms 

• Working knowledge of Python or familiar with other scripting languages
• Snowflake SnowPro Data Engineer certification would be a plus 
• AWS, Azure, certification or willingness to certify
• Team player. 

Work experience: At least 3 years experiences in a data team as Data Engineer

What we are offering: flexible work schedule, flexible workload, fix income (according to the workload contracted), meal tickets, private healthcare, technical training.