DATA ENGINEER

As a Data Engineer at Inetum, your primary responsibilities include designing and maintaining scalable data pipelines, collaborating with cross-functional teams, optimizing data workflows, automating data ingestion processes, and ensuring the integrity of the data infrastructure. You'll also guide junior engineers and maintain comprehensive documentation of data systems.

To be considered for the Data Engineer role at Inetum, candidates should possess strong knowledge of Spark on Scala, CI/CD tools like Gitlab and Jenkins, SQL and NoSQL databases, as well as experience with Hadoop and Apache Airflow. Familiarity with scripting languages, containerization, and data virtualization tools will also be beneficial.

At Inetum, Data Engineers work on a variety of exciting projects that involve building and optimizing data pipelines, implementing complex business rules for data transformation, and ensuring efficient data flows for our clients in different industries, especially in banking. You'll collaborate closely with other teams for comprehensive data solutions.

Inetum is committed to the continuous learning and professional development of its Data Engineers. You will have the opportunity to mentor junior staff, engage in training programs, and be part of a culture that encourages personal growth and skill enhancement. Your contributions to innovative solutions will also be recognized and encouraged.

For the Data Engineer role at Inetum, candidates should be well-versed in programming languages such as Scala for Spark, along with a good command of SQL. Knowledge of shell scripting can also be advantageous. Familiarity with other tools and languages used in data processing will further enhance your application.

In answering this question, focus on your specific experiences with designing and implementing data pipelines. Share examples of tools you have used, challenges you faced, and how you optimized the performance of these pipelines to demonstrate your practical knowledge as a Data Engineer.

Discuss the strategies and techniques you use, such as implementing validation tests, data profiling, and monitoring for anomalies. Highlight your understanding of best practices in data management, which will showcase your commitment to maintaining high standards as a Data Engineer.

Share your familiarity with CI/CD tools like Gitlab or Jenkins. Provide an example of how you've set up automated deployments or testing processes in previous roles. This will demonstrate your capability to streamline data engineering workflows effectively.

Describe your methodology for identifying and resolving data issues. Highlight your analytical skills and experience with root cause analysis, while emphasizing collaboration with team members to facilitate efficient solutions.

Discuss the cloud storage services you have worked with, such as S3 or Cloud Object Storage. Provide details on how you've leveraged these solutions for managing large datasets, ensuring security, and optimizing data access.

In your response, clearly outline the fundamental differences between SQL (structured) and NoSQL (unstructured) databases in terms of schema, scalability, and use cases. This demonstrates your knowledge as a Data Engineer and your capability in handling various database types.

Discuss your experience with tools like Apache Airflow or similar orchestrators for managing data workflows. Share examples of how you've implemented these tools in projects to streamline data ingestion and automation.

Mention specific resources you utilize, such as industry publications, online courses, or community forums. Emphasize your commitment to continuous learning and professional development, an essential quality for a successful Data Engineer.

Discuss the importance of clear communication with cross-functional teams and stakeholders. Highlight experiences where you successfully bridged the gap between technical and non-technical personnel to achieve your project's objectives.

Share a specific instance from your career where you faced a significant data challenge, detailing the issue, your approach to solving it, and the final outcome. This will showcase your problem-solving skills as a Data Engineer at Inetum.