Perform data engineering, develop mathematical models, and implement algorithms and analytical visualizations that support multiple business areas in identifying opportunities—through optimization of costs, investments and processes, as well as revenue growth.
Monitor technological and scientific developments, given the continuous improvements in algorithms, mathematical models, and technological platforms in the Big Data area.
Track changes in the telecommunications market to understand and anticipate market and consumer behavior trends, thereby delivering better insights and analyses for the business.
Balance the technical excellence of models and analyses with time-to-market business expectations and computational constraints (large data volumes).
Comply with requirements for maintaining the Occupational Health and Safety Management System and participate in Occupational Health and Safety programs.

Bachelor's degree or higher (degree certificate required)
Advanced proficiency in SQL, data pipelines, and distributed processing
Strong experience with Azure cloud and data architecture
Strong analytical skills for optimization and resolution of complex problems
Experience with data security, privacy, auditing, and data quality
Hands-on experience with tools such as Hadoop, Spark, Databricks, PostgreSQL, Informatica PowerCenter, IDMC, Azure Data Factory (ADF), MongoDB, Kafka
Experience working on projects involving AI, machine learning, and big data
Degree in Engineering, Computer Science, Information Systems, or related fields
Desirable certifications: Azure Data Architect, Databricks Certified Data Engineer, AWS Data Analytics, IU Data Security Fabric
Proficiency with tools such as Terraform, Git, Docker, Kubernetes
Knowledge of LGPD, GDPR, and information security best practices
Skills in technical documentation, communication with business areas, and technical leadership
Proven experience in data engineering in analytical and operational environments
Experience on projects with Databricks, Delta Lake, Spark, Azure Data Factory, and Synapse
Experience with ETL/ELT tools and data integration (SAS, Talend, Alteryx)
Knowledge of relational and non-relational databases (SQL Server, PostgreSQL, MongoDB, Redis)
Participation in data migration and legacy platform modernization projects
Experience with data modeling, taxonomies, glossaries, and metadata

Choose the benefits that best suit you and your dependents via a digital platform offering categories such as gym, meal card (VR), food allowance (VA), pharmacy assistance, medical and dental coverage, and life insurance;
Company mobile phone. Yes — a brand-new smartphone for you!
Unlimited voice and data plan! Yes, unlimited! On the best mobile network, even faster with Vivo's 5G!
An exclusive Vivo offer with special discounts on landline, broadband, TV, and apps;
Eligible to receive an annual bonus or PPR (profit-sharing/incentive plan);
Plan your future through a private pension/retirement plan;
Have children? You’ll receive a subsidy to help with school, daycare, or nanny expenses;
Work in an environment that respects your personality, dress style, and individuality, where you can be authentic. #VemdeVocê
Work remotely up to 2 days per week. #Mobility
Flexible working hours;
Enjoy one day off (Day off) to celebrate your birthday;
Take part in one of the largest corporate volunteer programs to help make a difference;
Benefit from our Educational Development Program offering partnerships with educational institutions at a discount; certifications and online courses;
Advance your career through our Internal Recruitment Program, in Brazil or abroad—we operate in more than 17 countries! #VivoMinhaCarreira
Access a range of initiatives to improve your physical, emotional, and social wellbeing!

Data Engineering Specialist

Key skills