About Us Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence. ? More information: We are looking for a Senior Data Engineer to design, build, and optimize scalable, high-performance data platforms supporting large volumes of financial and transactional data. The ideal candidate has strong expertise in Python, SQL, Apache Spark, AWS, and modern data engineering architectures , with proven experience working with production-grade systems in fast-paced environments. What You Can Expect (Responsibilities) - Design, build, and maintain high-throughput, low-latency batch and streaming data pipelines to ingest and process financial transactions from diverse integral sources. - Design, scale, and optimize cloud data warehouse and lakehouse architectures capable of handling massive volumes of structured and unstructured data. - Collaborate with Data Scientists, Software Engineers, and Product Managers to understand business needs and translate them into scalable, reliable data solutions. - Implement and enforce data quality frameworks, automated testing, monitoring, and alerting to ensure data integrity, reliability, high availability, and compliance with SLAs. - Drive the adoption of DataOps practices , including CI/CD, workflow automation, and Infrastructure as Code (IaC) for data systems. - Champion data governance, privacy, and security standards across data storage and compute layers, including GDPR/LGPD compliance. - Mentor and guide junior and mid-level Data Engineers , promoting engineering excellence, best practices, and modern architectural patterns.





Requirements - 5+ years of experience in Data Engineering, Big Data, or related Software Engineering roles, with a proven track record managing high-volume, production-grade data systems in fast-paced environments. - Strong proficiency in Python and SQL for complex data processing, optimization, and software development; Scala or Java experience is a plus. - Hands-on experience with Apache Spark/PySpark, Delta Lake, and modern lakehouse architectures , including Data Mesh principles. - Strong expertise in AWS data services , particularly S3, Glue, Athena, EventBridge, Firehose, and Lambda . - Solid experience with data orchestration and warehousing technologies , including Apache Airflow or similar DAG-based tools and platforms such as Snowflake, AWS Redshift, or Google BigQuery. - Experience designing real-time streaming architectures using technologies such as Apache Kafka or AWS Kinesis, as well as familiarity with modern data transformation and modeling tools such as dbt . - Strong knowledge of DevOps/DataOps practices , including Git, Docker, CI/CD pipelines (GitHub Actions, GitLab CI, or similar), Infrastructure as Code, and cloud platforms such as AWS or GCP. - Advanced English proficiency is required , with the ability to communicate effectively in English in both technical and non-technical contexts. Nice to Have - Previous experience in Fintech, Payments, E-commerce, or other high-growth technology environments , particularly working with financial transactions or highly regulated data. - Experience with Databricks and advanced cloud lakehouse architectures. - Knowledge of data privacy, governance, and security frameworks , including GDPR/LGPD, as well as experience implementing secure data platforms. - Experience with Infrastructure as Code tools such as Terraform , advanced DataOps automation, and mentoring Data Engineers or contributing to technical architecture decisions.

📌 Senior Data Engineer (Argentina)
🏢 Coderio
📍 Argentina