✦ Luna Orbit — Data & Analytics

Sr Analyst II Data Engineering

at DXC Technology

📍 ITA - MI - CERNUSCO SUL NAVIGLIO Unknown Posted March 18, 2026
Type Not Specified
Experience mid
Exp. Years 4+ years
Education Bachelor's degree in a relevant field or equivalent
Category Data & Analytics

This role involves developing and maintaining data pipelines, processing data, and ensuring data quality and security within a data engineering team.

  • Participate in data engineering tasks
  • Develop and maintain data pipelines
  • Support data collection and integration
  • Contribute to data quality and security
  • Analyze data using engineering tools

The environment includes data processing tools, data pipelines, and infrastructure management, with a focus on data security and quality, utilizing SQL, Python, and Big Data technologies.

The ideal candidate is a mid-level data engineer with 4+ years of experience in data processing, pipeline development, and data infrastructure management. They should be proficient with data engineering tools and technologies, and stay updated on industry trends.

Bachelor's degree in a relevant field4+ years relevant work experienceProven experience in data engineeringProficiencies in data engineering tools and technologies
Advanced degree in a relevant fieldRelevant certifications such as Certified Data Analyst or SAS Certified Big Data Professional
Data engineeringdata pipelinesdata processingdata transformationdata infrastructuredata qualitydata securitydata collectiondata integrationSQLPythonETLBig Data
Data engineeringData processingData transformationData pipelinesData infrastructureData qualityData securityData collectionData integrationData engineering toolsData engineering technologies
CollaborationTeamworkCommunicationProblem-solvingContinuous learning

Preferred

Certified Data AnalystSAS Certified Big Data Professional
Industry Technology
Job Function Data engineering and pipeline development
Role Subtype Data Engineer
Tech Domains Active Directory, Microsoft 365, Azure, SQL / PostgreSQL
Data EngineerData engineeringData pipelinesData processingData transformationData infrastructureData qualityData securityData collectionData integrationData engineering toolsData engineering technologiesSQLPythonETLBig DataData analysisData managementData trendsIndustry knowledgeData engineer

Lack of proven data engineering experience, No proficiency in data engineering tools, No relevant degree or experience

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