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Senior Data Architect

Luxoft

Padova

In loco

EUR 70.000 - 90.000

Tempo pieno

Oggi
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Descrizione del lavoro

A global technology company in Padova is seeking an experienced Platform Engineer with deep proficiency in data engineering. The ideal candidate will manage and optimize data platforms like Databricks and Palantir while ensuring high availability and performance. Strong SQL skills and a bachelor's in IT are required. Join a fast-paced, friendly environment with excellent benefits including flexible work schedules and talent development programs.

Servizi

Flexible work schedule
Great company culture
Talent development programs
Discounts for employees

Competenze

  • Minimum 10 years of experience in IT / Data.
  • Minimum 5 years of experience as a Data Platform Engineer / Data Engineer.
  • Expertise in SQL with experience in PostgreSQL, MySQL, Oracle, or Snowflake.

Mansioni

  • Manage and optimize data platforms such as Databricks and Palantir.
  • Ensure high availability, security, and performance of data systems.
  • Provide insights about data platform usage.

Conoscenze

Proficiency in PySpark for distributed computing
Expertise in Azure and AWS
Familiarity with ETL tools & processes
Experience with data warehousing concepts
Proficiency with version control tools like Git
Deep understanding of database optimization
Experience in dimensional modelling
Familiarity with monitoring tools
Experience implementing data quality frameworks

Formazione

Bachelor's in IT or related field

Strumenti

Databricks
Palantir
Docker
Kubernetes
Terraform
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).

Benefits

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

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