CI&T
CI&T
CI&T — 1995 жылы құрылған, ұйымдарға цифрлық өнімдер мен қызметтер арқылы әзірлеу, басқару және өзара әрекеттесу тәсілдерін жаңғыртуға көмектесетін жаһандық технологиялық трансформация компаниясы. Оның қызмет бағыттарына қолданбаларды жаңғырту, бұлтты шешімдер, жасанды интеллект пен деректер талдауы, клиент тәжірибесі, өнім дизайны, стратегиялық консалтинг және иммерсивті тәжірибелер кіреді. Консалтинг, денсаулық сақтау және маркетинг сияқты салаларда тәжірибесі бар CI&T өсуге және операцияларды тиімдірек жүргізуге ұмтылатын ұйымдарға қолдау көрсету үшін технологиялық және бизнес құзыреттерді біріктіреді.

Senior Master Data Analyst – Data Engineering

Lead data architecture, pipelines, governance, and quality practices for CI&T’s FLOW AI platform. Work with SQL, Python, Spark, and scalable cloud data solutions.

Сипаттама

  • Act as a technical reference for modern data solutions supporting the FLOW platform
  • Lead the design, implementation, and evolution of data architectures and platforms
  • Build and maintain scalable, resilient, high-performance data pipelines
  • Establish standards for Data Lake, Data Warehouse, and Lakehouse solutions
  • Partner with teams to protect data integrity, quality, security, and availability
  • Implement data quality and observability practices across pipelines
  • Develop and improve CI/CD pipelines for data and ETL/ELT workflows
  • Create and maintain relational and dimensional data models
  • Apply governance practices covering cataloging, lineage, and access control
  • Document architectures, workflows, processes, and technical decisions
  • Diagnose complex technical problems and conduct root-cause analysis
  • Use FinOps principles to monitor and optimize data costs
  • Guide team members and support their autonomy and professional development
  • Apply AI to improve productivity and quality across the data engineering lifecycle

Талаптар

  • Substantial data engineering experience in complex, large-scale environments
  • Experience acting as a technical reference for architecture decisions and team development
  • Advanced SQL, Python, and Spark skills
  • Experience developing data solutions for machine learning, generative AI, or agent-based systems
  • Experience with modern cloud-based data stacks
  • Hands-on experience building data pipelines and ETL/ELT workflows
  • Knowledge of data architecture, distributed processing, and multi-source integration
  • Experience applying CI/CD practices to data solutions
  • Knowledge of relational and dimensional data modeling
  • Ability to assess solutions for scalability, security, performance, cost, and operational sustainability
  • Experience using AI across software development and data engineering workflows
  • Advanced English proficiency for client and international-team communication
  • Degree in Computer Science, Information Technology, Engineering, or a related discipline
  • Preferred: experience with multiple cloud providers, Databricks or comparable platforms, data/cloud/distributed-processing certifications, Data Lake, Data Warehouse, or Lakehouse architectures, data quality and reliability practices, observability, cataloging, lineage and governance tools, FinOps, or international projects and teams

Артықшылықтар

  • Health and dental coverage
  • Meal and food allowance
  • Childcare assistance
  • Extended parental leave
  • Gym and wellness partnerships through Wellhub (Gympass) and TotalPass
  • Profit-sharing and results program (PLR)
  • Life insurance
  • Ongoing learning through CI&T University
  • Discount club membership
  • Free online resources supporting physical and mental well-being
  • Pregnancy and responsible parenting course
  • Partnerships with online learning platforms
  • Language learning platform
  • Hiring-process support and accommodations for people with disabilities
  • Dedicated health and well-being team, inclusion specialists, and affinity groups

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