Data Engineering Lead

7 meses atrás


Rio de Janeiro, Brasil Boston Consulting Group Tempo inteiro

**Who We Are**:
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we work closely with clients to embrace a transformational approach aimed at benefiting all stakeholders—empowering organizations to grow, build sustainable competitive advantage, and drive positive societal impact.

Our diverse, global teams bring deep industry and functional expertise and a range of perspectives that question the status quo and spark change. BCG delivers solutions through leading-edge management consulting, technology and design, and corporate and digital ventures. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, fueled by the goal of helping our clients thrive and enabling them to make the world a better place.

BCG X

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.

**Practice Area Profile**:
**What You''ll Do**:
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.

**What You''ll Bring (Experience & Qualifications)**:
**Technical Skills:
- Must have strong experience: _
- 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.)
- Nice to have: _
- 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, Jenkins, Github Actions, 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

**Job Requirement**:

- Bachelor''s / Master''s degree in computer science, engineering/technology or equivalent
- Excellent oral and written communication skills in Portuguese and English

**Work Experience**:

- Relevant domain of Data Engineering across industries and work experience providing analytics solutions in a commercial setting
- Consulting experience will be considered a plus

**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 m


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