Senior Engineer

🔥 0 minutes ago

🇨🇦 Canada – Remote

💵 $72.1k - $138.9k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• Design, develop, and maintain scalable data processing applications using Apache and SQL • Build high-performance ETL and data transformation pipelines using Python and Scala • Develop and optimize batch and near-real-time data processing workflows • Work with large-scale datasets stored in Parquet, Hive, and distributed storage systems • Write efficient SQL queries and optimize execution plans for performance and scalability • Design data models, partitioning strategies, and storage layouts to improve processing efficiency • Collaborate with Data Engineers, Software Engineers, Data Scientists, and Product Teams to deliver data-driven solutions • Implement automated testing, monitoring, and deployment processes for data applications • Ensure data quality, reliability, security, and governance standards are met

🎯 Requirements

• Bachelor’s or master’s degree in computer science, Engineering, or a related technical field • 5+ years of professional software engineering or data engineering experience • Strong hands-on experience with Apache, SQL, Python, and Scala • Experience building distributed data processing applications • Strong understanding of Hadoop ecosystem technologies, including Hive, Parquet, and HDFS • Experience developing and optimizing ETL pipelines processing large-scale datasets • Strong SQL programming and query optimization skills • Familiarity with Linux environments and shell scripting • Experience using version control systems such as Git • Preferred: experience with AWS cloud platforms, distributed computing and large-scale data architecture, Airflow orchestration, and data lake/lakehouse environments

🏖️ Benefits

• Paid time off based on employee grade (A-F): Vacation: 12-25 days, depending on grade • Company paid holidays • Personal Days • Sick Leave • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) • Retirement savings plans (RRSP in Canada) • Life and disability insurance • Employee assistance programs • Other benefits as provided by local policy and eligibility • Potential variable incentives, bonuses, or commissions, depending on the position and applicable laws