[7510] Data Engineer - AWS
Brazil
CI&T is a digital specialist, partner in end-to-end digital transformation. As digital natives, we bring a 26-year track record of accelerating business impact through complete and scalable digital solutions. With a global presence of more than 5.000 professionals in strategy, research, data science, design and engineering, we unlock top-line growth, improve customer experience and drive operational efficiency.
CI&T is a digital specialist, partner in end-to-end digital transformation. As digital natives, we bring a 26-year track record of accelerating business impact through complete and scalable digital solutions. With a global presence of more than 5.000 professionals in strategy, research, data science, design and engineering, we unlock top-line growth, improve customer experience and drive operational efficiency.
General Description:
We are looking for engineers who are passionate about data and are eager to tackle big challenges using cloud and modern data processing technologies. The main focus of this role is to solve non-trivial data engineering problems in Fortune 500 companies. This person will mostly work with a mix of structured and unstructured, and use cloud and other state-of-the-art techniques and tools to help our customers achieve their business objectives.
Responsibilities:
- Develop code used by data tools on Cloud (AWS) to perform expected data aggregation and processing operations.-Define, build and deliver high-quality data pipelines.-Cloud infrastructure design and setup.-Design, construct, install, test and maintain data management systems.-Ensure that all systems meet the business/company requirements as well as industry practices.-Integrate up-and-coming data management and software engineering technologies into existing data structures.-Develop set processes for data mining, data modeling, and data production.Recommend different ways to constantly improve data reliability and quality.-Build and design large-scale applications.-Analyze and organize raw data.
Requirements for this challenge:
Intermediate or Advanced level of experience with AWS.Analytics services.Experience building Data Lakes and Data Warehouses, preferably Snowflake and Athena.Habilidades sólidas de comunicação e negociação, incluindo nível razoável de conforto na comunicação em inglês com os clientes.Arquitetura básica e habilidades de base técnica.We are a multicultural and inclusive company focused on creating a better tomorrow. We know that innovation and transform#LI-IA1#MidSeniorCI&T is an equal opportunity employer. We celebrate and appreciate the diversity of our CI&Ters’ identities and lived experiences. We are committed to building, promoting, and retaining a diverse, inclusive, and equitable company and culture focused on creating a better tomorrow.
At CI&T, we recognize that innovation and transformation only happen in diverse, inclusive, and safe work environments. Our teams are most impactful when people from all backgrounds and experiences collaborate to share, create, and hear ideas. We strongly encourage Black, Indigenous, and People of Color (BIPOC), immigrants, candidates with a disability, women, and LGBTQIA+ candidates to apply to our vacancies.
CI&T is a digital specialist, partner in end-to-end digital transformation. As digital natives, we bring a 26-year track record of accelerating business impact through complete and scalable digital solutions. With a global presence of more than 5.000 professionals in strategy, research, data science, design and engineering, we unlock top-line growth, improve customer experience and drive operational efficiency.
General Description:
We are looking for engineers who are passionate about data and are eager to tackle big challenges using cloud and modern data processing technologies. The main focus of this role is to solve non-trivial data engineering problems in Fortune 500 companies. This person will mostly work with a mix of structured and unstructured, and use cloud and other state-of-the-art techniques and tools to help our customers achieve their business objectives.
Responsibilities:
- Develop code used by data tools on Cloud (AWS) to perform expected data aggregation and processing operations.-Define, build and deliver high-quality data pipelines.-Cloud infrastructure design and setup.-Design, construct, install, test and maintain data management systems.-Ensure that all systems meet the business/company requirements as well as industry practices.-Integrate up-and-coming data management and software engineering technologies into existing data structures.-Develop set processes for data mining, data modeling, and data production.Recommend different ways to constantly improve data reliability and quality.-Build and design large-scale applications.-Analyze and organize raw data.
Requirements for this challenge:
Intermediate or Advanced level of experience with AWS.Analytics services.Experience building Data Lakes and Data Warehouses, preferably Snowflake and Athena.Habilidades sólidas de comunicação e negociação, incluindo nível razoável de conforto na comunicação em inglês com os clientes.Arquitetura básica e habilidades de base técnica.We are a multicultural and inclusive company focused on creating a better tomorrow. We know that innovation and transform#LI-IA1#MidSeniorCI&T is an equal opportunity employer. We celebrate and appreciate the diversity of our CI&Ters’ identities and lived experiences. We are committed to building, promoting, and retaining a diverse, inclusive, and equitable company and culture focused on creating a better tomorrow.
At CI&T, we recognize that innovation and transformation only happen in diverse, inclusive, and safe work environments. Our teams are most impactful when people from all backgrounds and experiences collaborate to share, create, and hear ideas. We strongly encourage Black, Indigenous, and People of Color (BIPOC), immigrants, candidates with a disability, women, and LGBTQIA+ candidates to apply to our vacancies.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Athena AWS Data management Data Mining Data pipelines Engineering Pipelines Research Snowflake
Perks/benefits: Startup environment
Region:
South America
Country:
Brazil
Job stats:
0
0
0
Category:
Engineering Jobs
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Senior Data Architect jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Manager, Data Engineering jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Kubernetes-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs