6 дней назад
Senior Spark Developer (Apache Spark)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Spark Developer (Apache Spark): Develop and optimize large-scale data processing solutions and pipelines using Apache Spark, Microsoft Fabric, and Power BI with an accent on analytics, reporting, data quality, and performance. Focus on designing reliable data platforms, troubleshooting processing issues, and translating requirements into technical solutions with data engineers, analysts, and business stakeholders.
Location: Onsite at the client site in Luxembourg, within a European institutional environment.
Company
, part of Accenture, delivers complex public-sector IT projects covering systems integration, analytics, software development, security, cloud, and digital transformation.
What you will do
- Design, develop, and maintain data processing solutions with Apache Spark.
- Build and optimize data pipelines for large-scale processing and analytics.
- Develop and maintain data solutions using Microsoft Fabric.
- Support reporting and data visualization with Power BI.
- Optimize performance, reliability, and data quality while troubleshooting data-related issues.
- Collaborate with data engineers, analysts, and business stakeholders to translate requirements into technical solutions.
Requirements
- Strong professional experience with Apache Spark and large-scale data processing.
- Experience with Microsoft Fabric and modern data platforms.
- Good experience with Power BI and reporting solutions.
- Strong knowledge of SQL and data modelling.
- Experience designing and developing data pipelines, with knowledge of data quality, performance optimization, and troubleshooting.
- Fluent English and willingness to complete a criminal background check before employment.
Culture & Benefits
- Onsite collaboration with clients and partners to support project delivery.
- In-person work supports collaboration, learning, and relationship-building.
- Flexibility is offered to support individual work-life needs.
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