CI&T is looking for a talented Databricks Senior Data Architect to design, develop, and maintain scalable data pipelines and infrastructure to drive data analytics and machine learning solutions for clients. You will design and implement scalable and efficient data architecture solutions, create, test, and maintain robust data pipelines, and collaborate with data engineers, data scientists, and stakeholders.
Job listings
As a Sr. Data Scientist in the Value Management team, you will build and improve analytical models focused on Time Series Forecasting and Planning. You will structure forecasting data and team up with business stakeholders to unlock growth and enhance profitability. Strong business acumen and programming skills are fundamental to translate data into insights that drive business decisions, planning and forecasting usage and subscribers.
Build production machine learning models that identify fraud, write production and offline analytical code in Python and work with distributed data pipelines. You will communicate complex ideas effectively to a variety of audiences and collaborate with engineering teams to strengthen our machine-learning platform.
As a data developer, you will be part of a dynamic team in an agile environment, collaborating with product managers (PMs) and other stakeholders. Your role will be key in building and maintaining a Data Lakehouse using Azure and Databricks, ensuring the correct delivery and availability of data for different areas of the business.
In this position, you will be responsible for designing and implementing data pipelines (ETL), ensuring the integrity and quality of information, conducting audits to identify inconsistencies, correcting them, and ensuring adherence to data governance standards. Demonstrate deep knowledge in data engineering to build and maintain non-interactive (batch, distributed) and real-time data pipelines with high availability.
Valtech is looking to hire a Data Scientist to join our team in Brazil. In this role, you would perform root cause analyses of known problems in production that generate inadequate results in models and develop data pipelines to help stakeholders make data-driven decisions. You would also create dashboards with Tableau, PowerBI, or personalized web applications and conduct in-depth analyses to guide business decisions.
Hiring a Data Scientist with strong foundations in statistics, causal inference, and experimental design, your work will be centered on rigorous analysis: designing robust experiments, validating assumptions, and extracting clear insights from complex data, applying statistical thinking and careful modeling to answer hard questions and guide product direction.
As a Data Migration Analyst, you will play a crucial role in processing and analyzing data to be imported into our systems from our clientsβ in a SaaS context. You will execute data migration, provide support, identify and report bugs, create innovative solutions, ensure data security, collaborate with the team, and test and validate new solutions.
A senior leader to own data quality, guide ambiguous workstreams, and break big-picture goals into executable chunks. Plays a crucial role in building new advertising business from the ground up, with a focus on data ingestion, analysis, and reporting. A unique opportunity to own projects from end-to-end, work with novel data sources, and provide strategic thought leadership in a fast-paced environment.
Train and integrate Machine Learning and Deep Learning models and techniques including NLP, BERT, Transformers, Encoders, RAG, LLMs, and Agents. You will also develop machine learning pipelines, define and implement the metrics and evaluation of ML models, as well as apply statistical methods and hypothesis tests and perform data analysis and develop pipelines for processing big data.