Senior Data Engineer

🔥 12 hours ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

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

• Plan, manage, and execute releases across all environments from development to production • Identify technical and functional interdependencies between various tracks • Coordinate with development pods and stakeholders across programs • Review application code and documentation, and perform pre/post deployment tasks • Define release processes for new data engineering applications • Communicate change management updates to required stakeholders • Execute release packages, deployment guides, and command line instructions in production • Support project timelines, set expectations, and realign expectations as priorities change • Develop understanding of client needs, including data conversion and migration, environment management, build processes, deployment planning and execution, solution designs, systems integrations, technical architectures, and infrastructure architectures

🎯 Requirements

• Execute deployment scripts and step-by-step instructions in test and production environments • Comfortable with Command Line Interfaces • Understanding of CI/CD, Git branching, packaging and DevOps pipelines • Working knowledge of data warehousing and reporting technologies: Azure, Databricks, Unity Catalog, Python, Spark, PySpark, Airflow, MicroStrategy, Tableau