Data Engineer

Job Advertisement

Position Title: Data Engineer
Location: France
Country: France
Deadline Date:

Job Details

Job Posting Organization:
The organization is a prominent entity in the field of data engineering, focusing on innovative solutions and technological advancements. Established in the early 2000s, it has grown to employ over 500 professionals across various sectors. The organization operates in multiple countries, emphasizing a commitment to diversity and inclusion in its workforce. Its mission is to leverage data to drive decision-making and improve operational efficiency for its clients.

Job Overview:
The Data Engineer position is crucial for the organization as it involves designing, constructing, and maintaining scalable data pipelines and architectures. The role requires a deep understanding of data modeling, ETL processes, and data warehousing solutions. The Data Engineer will collaborate with data scientists and analysts to ensure that data is accessible and usable for analysis. This position also entails optimizing data flow and collection for cross-functional teams, ensuring data quality and integrity, and implementing data governance practices. The ideal candidate will be expected to stay updated with the latest industry trends and technologies to enhance the organization's data capabilities.

Duties and Responsibilities:

• Design and implement robust data pipelines to support data ingestion and processing.
• Collaborate with data scientists and analysts to understand data requirements and deliver solutions that meet their needs.
• Optimize data storage and retrieval processes to improve performance and efficiency.
• Ensure data quality and integrity through rigorous testing and validation processes.
• Develop and maintain documentation for data architecture and processes.
• Monitor and troubleshoot data pipeline performance and resolve issues as they arise.
• Implement data governance practices to ensure compliance with regulations and standards.
• Stay informed about emerging technologies and best practices in data engineering and analytics.

Required Qualifications:

• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with SQL and NoSQL databases.
• Familiarity with data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake.
• Knowledge of ETL tools and frameworks such as Apache Spark, Apache Kafka, or Talend.
• Understanding of data modeling concepts and best practices.
• Experience with cloud platforms like AWS, Azure, or Google Cloud is a plus.
• Strong analytical and problem-solving skills.

Educational Background:
A bachelor's degree in Computer Science, Information Technology, Data Science, or a related field is required. A master's degree or relevant certifications in data engineering or analytics is preferred but not mandatory.

Experience:
Candidates should have a minimum of 3-5 years of experience in data engineering or a related field. Experience in building and maintaining data pipelines and working with large datasets is essential. Familiarity with agile methodologies and experience in a collaborative team environment is also beneficial.

Languages:
Fluency in English is mandatory, both written and spoken. Proficiency in French is highly desirable, as it will facilitate communication within the organization and with local stakeholders. Knowledge of additional languages is considered a plus.

Additional Notes:
This position is full-time and may involve remote work options. The organization offers competitive compensation packages, including benefits such as health insurance, retirement plans, and opportunities for professional development. The role may require occasional travel to other offices or client sites.