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Staff Engineer, Software

myGwork

Milano

In loco

EUR 60.000 - 80.000

Tempo pieno

9 giorni fa

Descrizione del lavoro

A global science company in Milan is seeking a skilled data engineer to develop data solutions using Python and SQL. Candidates should have substantial experience with Databricks, AWS products, and strong problem-solving abilities. Join a team dedicated to innovative data strategies within a collaborative environment.

Competenze

  • 8+ years experience using Python and SQL.
  • Fluency in Databricks and Spark required.
  • 5+ years managing AWS products essential.

Mansioni

  • Develop and deploy data solutions using industry standard tech stacks.
  • Work closely with data scientists to gather requirements.
  • Follow agile development methodologies in production.

Conoscenze

Python
SQL
Databricks
Spark
AWS products
Git
Jenkins

Formazione

4-year degree in computer science or equivalent

Strumenti

Delta Lake
Oracle
AWS Redshift
Descrizione del lavoro
Overview

This job is with Thermo Fisher Scientific, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Work Schedule: Standard (Mon-Fri)

Environmental Conditions: Office

Key Responsibilities
  • Independently develop and deploy data solutions using industry standard tech stacks
  • Work closely with data scientists and cross-functionally to gather and satisfy requirements
  • Follow agile development methodologies to deliver solutions and product features by following standard DevOps practices
Education And Experience
  • 4-year degree in computer science (or equivalent) OR 8- to 10-years of experience in data services / data engineering
Knowledge, Skills, Abilities
  • 8 years or more experience using Python and SQL
  • Fluency in Databricks and Spark, including pipeline development, automation, and monitoring
  • Hands-on experience designing and administrating relational database solutions, including Delta Lake, Oracle, and AWS Redshift
  • 5 years or more experience using and managing AWS products, including Spark, Glue, Kafka, Elastic Search, Lambda, S3, Redshift, and others
  • Ability to resolve complex technical issues quickly and independently
  • Command of standard version and build control systems; git and Jenkins strongly preferred
  • A self-starter with the drive and ability to deliver complex solutions rapidly
  • Communicate effectively with technical and non-technical personnel in oral and written form
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