Pessoa Engenheira de Dados Sênior in Brazil, Indiana 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.

• 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.

• 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.

• 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.