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Expleo

Data Engineer Mid-Level | Microsoft Azure

Expleo Lisbon, Portugal

IT Services and IT Consulting · 10,001+ employees

Yesterday
Remote data-engineer Mid (2-5 yrs) Full-time Portugal
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About the role

Develop and maintain data pipelines, including ingestion, transformation, and modeling processes. Ensure the availability and performance of data solutions within the Microsoft Azure ecosystem.

What they look for

Microsoft Azure Azure Databricks Data Engineering PySpark ETL ELT Azure Data Lake Storage Parquet Delta Lake Data Pipelines Data Modeling Scrum Agile Azure Data Factory Azure Synapse Scala

Requirements

Requires 2-5 years of experience in data engineering with a strong focus on Microsoft Azure and Azure Databricks. Proficiency in PySpark, ETL/ELT development, and data lifecycle management is essential.

Full description

Overview

Expleo is a trusted partner for your innovation journey. As a global engineering, technology and consulting service provider, we are ideally positioned to help you achieve your ambitions and future-proof your business. With a smart blend of bold thinking and reliable execution, we’re able to fast-track innovation through each step of your value chain.

We are strategically positioned to build value, with global footprint across 30 countries.We are as global and local as you need us to be, with strong best-in-class pan-European technological centres and unique best-shoring capabilities.

We leverage a network of high value-adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an ever-changing environment.

Responsibilities

Procuramos um Data Engineer com experiência prática no desenvolvimento de soluções de dados em Microsoft Azure, com especial foco em Azure Databricks.O profissional deverá ter capacidade para trabalhar no desenvolvimento de pipelines, ingestão e transformação de dados, preparação/modelação e disponibilização de informação. Essential skills

- 2–5 anos de experiência em Data Engineering- Experiência sólida em Microsoft Azure- Experiência em Azure Databricks- Experiência com PySpark / notebooks- Experiência em desenvolvimento de ETL/ELT- Experiência com Azure Data Lake Storage / ADLS- Conhecimentos de Parquet- Conhecimentos de Delta Lake

Experiência no ciclo completo de dados:- ingestão, transformação, modelação, disponibilizaçãoCapacidade de desenvolver soluções escaláveis e com atenção a performanceExperiência em SCRUM / Agile

Desired skills

- Experiência com Azure Data Factory- Experiência de migração de Scala para PySpark- Azure Synapse- JIRA- Confluence

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