Data Engineer

Job not on LinkedIn

🕒 March 27

🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of Distrito

Distrito

51 - 200 employees

Founded 2014

🤖 Artificial Intelligence

🤝 B2B

💳 Fintech

💰 Seed Round on 2020-11

Artificial Intelligence • B2B • Fintech

Distrito is a platform focused on innovation management and corporate venture capital, leveraging artificial intelligence to provide tailored solutions for businesses. It helps companies turn complex challenges into simple, effective solutions, and enables them to optimize internal processes and develop new products efficiently. Through its market intelligence capabilities, Distrito empowers organizations to make strategic decisions swiftly and capitalize on growth opportunities, supported by a network of emerging technologies and specialized consulting services.

📋 Description

• Design and implement scalable data architectures to support machine learning models and generative AI • Develop and optimize pipelines for ingestion, processing, and storage of large volumes of data • Work with solution architects and machine learning engineers to translate business requirements into efficient technical solutions • Ensure data quality, governance, and security by applying data engineering best practices • Implement MLOps strategies to automate pipelines and model versioning • Collaborate on the integration of APIs and distributed systems for real-time data processing • Monitor the performance and scalability of data systems, identifying optimization opportunities

🎯 Requirements

• Strong experience with data modeling and ETL, including frameworks such as Apache Airflow, Azure Data Factory, or Spark • Proficiency with SQL databases (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, Cassandra) • Knowledge of VectorDBs, such as Qdrant, is considered an important differentiator • Experience with big data architectures and distributed processing • Knowledge of Python (Pandas, PySpark) and MLOps tools (MLflow, Kubeflow, Vertex AI) • Experience with cloud computing services (AWS, Azure, GCP, or OCI) • Familiarity with containers and orchestration (Docker, Kubernetes) • Experience with data security and governance

🏖️ Benefits

• Meal voucher and/or food allowance of R$807.30 per month on the iFood card • SulAmérica health insurance (100% company-paid) • MetLife dental plan • Pet health plan • Life insurance • Totalpass and Wellhub for fitness activities anytime, anywhere • Birthday Day Off to enjoy your birthday as you wish • Partnership with Sesc • Partnership with OnHappy (discounts on hotels and travel) • Partnerships with educational institutions • Childcare reimbursement • Work equipment provided • Culture of feedback and development • Dynamic environment with significant growth opportunities • Payroll-deductible loans with the lowest interest rates • Variable compensation in recognition of performance and cultural alignment

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