EndereçoWe are hiring a confident Data Engineer to join our awesome team at in São Paulo, SP.
Growing your career as a Full Time Data Engineer is a great opportunity to develop excellent skills.
If you are strong in planning, communication and have the right drive for the job, then apply for the position of Data Engineer at today!
As a part of BCG’s X Delivery team, you will work closely with consulting teams on a diverse range of advanced topics. You will have the opportunity to leverage software development methodologies to deliver value to BCG's Consulting & BCG X (case) teams, BCG X Product teams and Practice Areas (domain) through providing software developer subject matter expertise, and accelerated execution support.
You will collaborate with teams to gather requirements, specify, design, develop, deliver and support software solutions serving client needs. You will provide technical support through deep understanding of relevant tools and processes to build high quality and efficient technology solutions. Assignments will range from short term Proof of Concepts/Minimum Viable Products to long term cases with enterprise grade software development as a critical enabler through the project level description of the role responsibilities and impact within the organization.
Functional Skills:
Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
Implementing ETL process(s) across on-premise and cloud architectures
Monitoring performance and advising any necessary infrastructure changes
Working with case (and proposal) teams:
Defining and explaining expected analytics outcome; defining approach selection
Delivering original analysis and insights to case teams, typically owning all or part of an analytics module and integrating with case teams
Establishing credibility by thought partnering with case teams on analytics topics; drawing conclusions on a range of external and internal issues related to their module
Communicating analytical insights through sophisticated synthesis and packaging of results (including PPT slides and charts) with consultants.
Collects, synthesizes, analyses case team learning & inputs into new best practices and methodologies.
Assuring proper sign‐off before uploading materials into internal repository for reference; sanitizing confidential client content in marketing documents
Able to build and sustain relationships with business stakeholders to generate project work by self-leveraging regular connects
Team requirements:
Guides juniors on analytical methodologies and platforms, and helps in quality checks
Contributes to team’s content & IP development
Imparts technical trainings to team members and consulting cohort
Communicating with confidence and ease:
You will be a clear and confident communicator, able to deliver messages in a concise manner with strong and effective written and verbal communication.
Thinking Analytically:
You should be strong in analytical solutioning with hands on experience in advanced analytics delivery, through the entire life cycle of analytics. Strong analytics skills with the ability to develop and codify knowledge and provide analytical advice where required.
Our data analytics and artifical intelligence professionals mix deep domain expertise with advanced analytical methods and techniques to develop innovative solutions that help our clients tackle their most pressing issues. We design algorithms and build complex models out of large amounts of data.
Requisitos
- Unix-based command line & development tools
- Version control (e.g. Git)
- Python
- Charting libraries (HighCharts, D3.js, Recharts, Plotly, Altair)
- Cloud computing platforms (AWS, Azure, Google Cloud, etc.)
- Containerization (Docker, Kubernetes, etc.)
- Relational databases (PostgreSQL, MariaDB, MySQL, etc.)
- NoSQL databases (MongoDB, Neo4j, Redis, etc)
- Spark or other distributed big data systems (Hadoop, Pig, Hive, etc.)
- Stream-processing frameworks (e.g. Kafka)
- Data pipeline orchestration tools (Airflow, Prefect, Dagster, etc.)
- Bachelor's / Master's degree in computer science, engineering/technology or equivalent
- Excellent oral and written communication skills in Portuguese and English
- Relevant domain of Data Engineering across industries and work experience providing analytics solutions in a commercial setting
- Consulting experience will be considered a plus
Desejável
- C, C++, C#
- Java, Scala
- Julia, Go, Rust
- JavaScript + HTML5 + CC3 (FRONTEND)
- React or other modern JS framework (Angular 2+, Vue, etc.) (FRONTEND)
- Flask, FastAPI, Django or NodeJS (BACKEND)
- TypeScript
- CI/CD tools (CircleCI, Octopus deploy, Jenkins, etc.)
- Infrastructure as code (Terraform, Chef, Puppet, Ansible, etc.)
- Deployment (Helm charts, Octopus Deploy, etc.)
- Monitoring tools (Datadog, New Relic, App Dynamics, etc.)
- Security tools (sonarqube, Veracode)
- Unit testing frameworks (Pytest, Mocha, Jest, etc.)
- Automated UI testing tools (Selenium, Cypress, Playwright, etc.)
- Postman or other API testing tool
Outras informações
BCG X is the tech build & design unit of BCG. Turbocharging BCG’s deep industry and functional expertise, BCG X brings together advanced tech knowledge and ambitious entrepreneurship to help organizations enable innovation at scale. With nearly 3,000 technologists, scientists, programmers, engineers, and human-centered designers located across 80+ cities, BCG X builds and designs platforms and software to address the world’s most important challenges and opportunities. Teaming across our practices, and in close collaboration with our clients, our end-to-end global team unlocks new possibilities. Together we’re creating the bold and disruptive products, services, and businesses of tomorrow.
BCG GAMMA as part of BCG X is dedicated to building cutting-edge AI and digital systems that go beyond prototypes to transform our clients’ core businesses. Powered by proprietary data assets, our custom products integrate into clients’ unique tech stacks to enable better, faster decision making.
Benefits of working as a Data Engineer in São Paulo, SP:
● Excellent benefits
● Opportunities to grow
● Attractive package
