Staff Engineer, Software

Thermo Fisher Scientific Inc.; Pavia; In loco; EUR 40.000 - 75.000; Tempo pieno

Descrizione del lavoro

A global scientific company in Italy is looking for a Data Engineer to develop and deploy data solutions. The candidate should have extensive experience in Python, SQL, and AWS products. Responsibilities include collaboration with teams to create effective data solutions and adherence to agile methodologies. This role offers opportunities to work on impactful projects influencing commercial operations and sales activities.

Competenze

• 8+ years of experience with Python and SQL.
• Experience with pipeline development, automation, and monitoring using Databricks and Spark.
• Minimum 5 years managing AWS products.

Mansioni

• Develop and deploy data solutions using industry-standard technology stacks.
• Collaborate with data scientists and cross-functional teams.
• Follow agile methodologies to deliver solutions.

Conoscenze

Python

SQL

Databricks

Spark

AWS Redshift

Version control systems (git)

Formazione

4-year degree in computer science or equivalent

Strumenti

AWS products (Glue, Kafka, Elastic Search)

Descrizione del lavoro

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner, and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, such as protecting the environment, ensuring food safety, or helping find cures for cancer.

Location / Division Specific Information

The team focuses on data democratization using a range of services from Oracle Exadata to modern data warehouse solutions. These data are used throughout the company to enable commercial operations, audience generation, and sales activities. Your work will be seen and used by data scientists, business partners, sales representatives, and customers of Thermo Fisher. You are expected to learn quickly and offer creative and efficient solutions to new challenges.

You will report to a senior team member and function as a key asset within the Corporate Data Science Center of Excellence, which includes data scientists, data engineers, business analysts, and project managers.

Key Responsibilities

• Develop and deploy data solutions using industry-standard technology stacks independently
• Collaborate with data scientists and cross-functional teams to gather and fulfill requirements
• Follow agile methodologies to deliver solutions and product features, adhering to DevOps practices

Education and Experience

4-year degree in computer science (or equivalent) OR 8-10 years of experience in data services/data engineering

Knowledge, Skills, Abilities

• At least 8 years of experience with Python and SQL
• Fluency in Databricks and Spark, including pipeline development, automation, and monitoring
• Experience designing and managing relational database solutions like Delta Lake, Oracle, and AWS Redshift
• Minimum 5 years managing AWS products such as Spark, Glue, Kafka, Elastic Search, Lambda, S3, Redshift, etc.
• Ability to troubleshoot complex technical issues independently and efficiently
• Proficiency with version control systems like git and Jenkins
• A proactive self-starter capable of delivering complex solutions swiftly
• Excellent communication skills for technical and non-technical audiences

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