Data Engineer (Dataviz / Power Bi)

Overview Our client is a U.S.-based company that provides technical expertise, testing, and certification services to the global food and agricultural industry. Their mission is to ensure food safety, quality, and sustainability across international supply chains. This role is critical to building, maintaining, and modernizing data pipelines that process large-scale regulatory data from around the world and transform it into usable datasets for downstream applications and APIs. The engineer will work hands-on with Python, SQL, and related tools to untangle legacy “spaghetti code” pipelines, migrate processes to more maintainable platforms such as Airflow, and ensure that our data is accurate, reliable, and ready for client-facing products. This role requires both strong technical ability and a consulting mindset—able to learn undocumented systems, troubleshoot gaps, and design forward-looking solutions that will scale as our data environment evolves. Responsibilities In this role you will: design, build, and maintain data pipelines using Snowflake, DBT, SQL, and related technologies. Operate in an Agile software development environment with short delivery cycles. Maintain and enhance DBT models and SQL scripts to support evolving business needs and data accuracy. Oversee Snowflake operations including user access, query performance, and resource utilization. Act as a first responder for data job failures, conducting root cause analysis and implementing preventive measures. Collaborate with data engineers, analysts, and business stakeholders to support operational data needs and troubleshoot issues. Identify opportunities to automate manual tasks, improve pipeline efficiency, and reduce operational overhead. Document operational procedures, job schedules, and incident logs; provide regular updates on system health and performance. Required Qualifications Minimum 7 years’ experience using Python for analyzing, extracting, creating, and transforming large datasets. Proficiency in Python 3 and common Python libraries for data engineering (Pandas, NumPy, Jupyter Notebooks). Deep experience with SQL and relational databases (Oracle, Postgres, MS SQL Server). Solid understanding of database design, data modeling, and data warehousing concepts. Excellent troubleshooting skills and a curious, self-motivated, and self-directed approach; comfortable in Agile teams. College degree or equivalent experience in computer science, software development, engineering, information systems, math, food science, or related field. Preferred Qualifications NoSQL design (MongoDB, AWS DynamoDB, or Azure Cosmos DB). Experience with cloud platforms (AWS, Azure, GCP) and data storage/processing services. Familiarity with Infrastructure-as-Code tools (e.g., Terraform). Proficiency in Azure DevOps for source code and pipeline management. What you can expect Health insurance, life insurance, professional development opportunities, remote work options, and a collaborative, inclusive culture. This role emphasizes learning, growth, and working with global teams. J-18808-Ljbffr

Location: Goiás, Goiás, BR

Posted Date: 9/14/2025