Senior Data Architect

Luxoft; Torino; In loco; EUR 60.000 - 80.000; Tempo pieno

Descrizione del lavoro

A leading tech firm in Italy seeks an experienced Platform Engineer. The role involves managing data platforms and optimizing ETL processes. Candidates should have extensive experience in data engineering, proficiency in SQL, and knowledge of cloud services. A Bachelor's degree in IT is essential. The company offers benefits such as a flexible work schedule and talent development opportunities.

Servizi

Flexible work schedule

Great company culture

Talent development ecosystem

Team-building activities

Employee discounts

Competenze

• Minimum 10 years of experience in IT/Data.
• Minimum 5 years of experience as a Data Platform Engineer/Data Engineer.
• Expertise in writing and optimizing SQL queries.

Mansioni

• Manage and optimize data platforms like Databricks and Palantir.
• Ensure high availability and performance of data systems.
• Optimize ETL processes for performance and scalability.

Conoscenze

Data engineering

Data platform optimization

ETL processes

Cloud services (Azure, AWS)

PySpark

Version control (Git)

SQL expertise

Formazione

Bachelor's in IT or related field

Strumenti

Databricks

Palantir

PostgreSQL

Descrizione del lavoro

Project description

We are seeking an expert with deep proficiency as a Platform Engineer, possessing experience in data engineering. This individual should have a comprehensive understanding of both data platforms and software engineering, enabling them to integrate the platform effectively within an IT ecosystem.

Responsibilities

Manage and optimize data platforms (Databricks, Palantir).

Ensure high availability, security, and performance of data systems.

Provide valuable insights about data platform usage.

Optimize computing and storage for large-scale data processing.

Design and maintain system libraries (Python) used in ETL pipelines and platform governance.

Optimize ETL Processes – Enhance and tune existing ETL processes for better performance, scalability, and reliability.

Skills

Must have

• Minimum 10 Years of experience in IT / Data.
• Minimum 5 years of experience as a Data Platform Engineer / Data Engineer.
• Bachelor's in IT or related field.
• Infrastructure & Cloud : Azure, AWS (expertise in storage, networking, compute).
• Data Platform Tools : Any of Palantir, Databricks, Snowflake.
• Programming : Proficiency in PySpark for distributed computing and Python for ETL development.
• SQL : Expertise in writing and optimizing SQL queries, preferably with experience in databases such as PostgreSQL, MySQL, Oracle, or Snowflake.
• Data Warehousing : Experience working with data warehousing concepts and platforms, ideally Databricks.
• ETL Tools : Familiarity with ETL tools & processes
• Data Modelling : Experience with dimensional modelling, normalization / denormalization, and schema design.
• Version Control : Proficiency with version control tools like Git to manage codebases and collaborate on development.
• Data Pipeline Monitoring : Familiarity with monitoring tools (e.g., Prometheus, Grafana, or custom monitoring scripts) to track pipeline performance.
• Data Quality Tools : Experience implementing data validation, cleaning, and quality frameworks, ideally Monte Carlo.

Nice to have

Containerization & Orchestration : Docker, Kubernetes.

Infrastructure as Code (IaC) : Terraform.

Understanding of Investment Data domain (desired).

We offer numerous benefits such as :

⏰ Flexible work schedule

🧑 Great company culture and friendly environment

🚀 Work within a fast-moving, exciting, and challenging environment

🎓 Talent development ecosystem

👨🏻 💻 Luxoft Training Center services with ad-hoc leadership and technical programs

📚 Knowledge sharing in professional communities

🧠 Meetings for knowledge sharing, celebrations, and brainstorming : your ideas count!

🏆 Regular team-building activities

💸 Variety of discounts for our employees