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Data Engineer


Piksel SRL


Location

Ispra (VA) | Italy


Job description

We are looking for a Data Engineer for one of our most prestigious clients, an international research center based in Italy.

Key Responsibilities:

1. Design and Build Data Pipelines: Develop, construct, test, and maintain architectures such as databases and large-scale data processing systems. Ensure that the architecture will support the requirements of the business.

2. Data Collection and Storage: Collect and store data from various sources, ensuring that the data is accessible, efficient, and secure.

3. Data Processing: Implement algorithms and software needed to process data. Optimizing data retrieval and developing dashboards for data visualization.

4. Data Quality and Reliability: Ensure the quality and reliability of data. Implement systems for tracking data quality and consistency.

5. Collaboration with Data Science Teams: Work closely with data scientists and analysts to provide them with the necessary data for their analysis. Generate different type of outcomes as dashboard and tabular data.

6. Technology Research: Stay updated with new technologies and methodologies in data engineering and related fields.

Required Technology Experience and Knowledge:

1. Master's degree in Statistics, Mathematics, Computer science or Informatics

2. 3+ years of experience in the role of data engineering

3. Programming Languages: Proficiency in Python

4. Database Management: Experience with SQL and NoSQL databases such as MySQL, Oracle, MongoDB, and Elasticsearch.

5. Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka.

6. Data Warehousing Solutions: knowledge of data warehousing tools like Amazon Redshift, Google BigQuery, or Snowflake.

7. ETL Tools: Proficiency in ETL (Extract, Transform, Load) tools like Penthao or custom scripting.

8. Cloud Platforms: knowledge of cloud services from providers such as AWS, Azure, or Google Cloud Platform.

9. Data Modelling: Understanding of data modelling and data architecture principles.

10. Containerization and Orchestration: Experience with Docker, Kubernetes, or similar technologies.

Soft Skills:

1. Problem-Solving Skills: Ability to troubleshoot and solve complex technical problems.

2. Analytical Thinking: Strong analytical skills to interpret complex data.

3. Communication: Excellent verbal and written communication skills to effectively collaborate with team members and stakeholders.

4. Teamwork: Ability to work effectively in a team environment, contributing to a collaborative work culture.

5. Attention to Detail: Meticulous attention to detail to ensure the accuracy and reliability of data.

6. Time Management: Ability to manage time and prioritize tasks efficiently in a fast-paced environment.

Grading and salary will be commensurate to the professional background.

Location: Ispra (VA), Italy. Activities will be performed partially on-site and partially in smart-working.


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