What are the responsibilities and job description for the Pessoa Engenheira de Dados Sênior position at Jobgether?
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Pessoa Engenheira de Dados Sênior in Brazil.
This role is designed for a senior data engineering professional who thrives in complex, data-intensive environments and enjoys shaping scalable, modern data platforms. You will play a key part in designing and implementing distributed data architectures that enable large-scale data processing and democratization across the organization. The position involves working closely with cross-functional teams to translate business needs into robust, cloud-native data solutions. You will contribute to building reusable and high-quality data components such as pipelines, APIs, and frameworks that support analytics and decision-making. The environment is highly collaborative, innovation-driven, and focused on continuous improvement and automation. It also offers significant autonomy, flexibility, and the opportunity to influence technical direction in a cloud-first ecosystem.
\n- Participate in understanding business requirements and translating them into scalable and reliable data solutions that deliver measurable value.
- Design data architectures and evaluate the best technologies to solve complex data engineering challenges.
- Develop and maintain data pipelines within a Data Mesh-oriented architecture, enabling data democratization across domains.
- Build reusable components such as connectors, APIs, SDKs, and CLIs to support data platform scalability and efficiency.
- Implement automated testing, monitoring, and continuous improvement practices across data workflows.
- Iterate on solutions based on user feedback, ensuring performance, reliability, and usability of data products.
- Collaborate with engineering teams to drive innovation, quality, and best practices in the data ecosystem.
Requirements:
- Strong experience with large-scale, distributed data processing (e.g., Apache Spark, Hadoop, Hive, or similar technologies).
- Hands-on experience with AWS Data & Analytics services (Glue, EMR, Athena, QuickSight).
- Advanced programming skills in Python for data engineering and automation tasks.
- Solid knowledge of AWS cloud services such as S3, Lambda, SQS, DynamoDB, and API Gateway.
- Strong experience with relational (SQL) and NoSQL databases (document and key-value models).
- Practical experience with DevOps practices and Infrastructure as Code (e.g., Terraform, CodePipeline, or equivalent tools).
- Strong analytical thinking, problem-solving ability, and collaboration skills in cross-functional environments.
Benefits:
- Remote-first flexibility with freedom to work from anywhere.
- Flexible working hours.
- Education assistance and continuous learning support.
- Structured career development program and proprietary growth tracking platform.
- Internal guilds and communities for knowledge sharing and professional development.
- Comprehensive health and dental insurance.
- Mental health support including free online therapy.
- Wellness and fitness benefits (e.g., Wellhub).
- Meal and food allowances, transportation support, and home office assistance.
- Life insurance coverage and extended parental leave policies.
- Profit sharing and financial support benefits.
- Access to telemedicine services available 24/7.
- Additional perks such as childcare assistance, medication discounts, and phone plan support.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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