Senior Data Engineer

🕒 September 12

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sedona Digital

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Sedona Digital is a process-led technology consultancy that helps enterprises define strategy, build AI- and data-driven products, modernise applications and secure and operate cloud-native environments. They offer services across technology strategy, data architecture and engineering, AI and predictive analytics, software product engineering, cloud migration and Azure managed services, DevOps/CICD, plus security and managed SOC capabilities to deliver ongoing operations and compliance.

📋 Description

• Design, build, and maintain scalable data pipelines and integration workflows using AWS, Snowflake, SQL, and Python • Manage data ingestion from APIs, databases, SFTP locations, and file-based sources • Build and optimise data models, transformations, and data-quality controls • Own recurring client processes, including the monthly SAS-based healthcare claims workflow • Monitor and troubleshoot pipelines, batch processes, and production data environments • Apply security, governance, access-control, and credential-management best practices • Improve pipeline resilience through monitoring, error handling, restartability, and recovery • Optimise data workloads for performance, scalability, and cost • Develop reusable components and patterns for ingestion, transformation, validation, and monitoring • Prepare governed and trusted datasets for analytics, reporting, AI, and machine-learning use cases • Collaborate with clients and internal stakeholders to translate business requirements into technical solutions • Modernise legacy processes, reduce manual effort, and improve operational efficiency • Maintain technical documentation, data lineage, business rules, and operational runbooks

🎯 Requirements

• 5+ years of experience in data engineering, ETL/ELT, or data integration • Strong experience with AWS data services, including S3 and RDS • Hands-on experience with Snowflake, SQL, and data modelling • Proficiency in Python or a similar scripting language • Experience building and supporting scalable batch data pipelines • Experience integrating APIs, databases, SFTP locations, and file-based sources • Strong understanding of data transformation, validation, quality, and governance • Experience monitoring, troubleshooting, and optimising production data processes • Ability to work independently and take ownership of client-facing deliverables • Strong problem-solving, documentation, and communication skills • Experience with SAS datasets and data-processing programs • Hold a valid Microsoft certification or commit to completing a relevant certification within three months of joining • Experience with Secure FTP / SFTP and Gzip-compressed files is nice to have • Experience processing large, partitioned datasets is nice to have • Knowledge of server-based batch processing is nice to have • Experience with medical-benefit or pharmacy-benefit claims data is nice to have • Familiarity with Databricks, AI, machine learning, or generative AI use cases is nice to have • Understanding of CI/CD, monitoring, and automation practices is nice to have • Experience with Power BI or other analytics and visualisation tools is nice to have • Experience working in regulated or security-sensitive environments is nice to have

🏖️ Benefits

• Invest in learning and long-term careers • Opportunity to complete a relevant Microsoft certification within three months of joining