Senior Data Engineer developing high-impact data solutions for the finance sector at Extractta. Collaborating in a dynamic team while ensuring data governance and security standards.
Responsibilities
Design, develop and support robust data infrastructure solutions with a focus on scalability, security and efficiency.
Lead the implementation and maintenance of ecosystems such as Trino, AWS Glue, Redshift, Airflow, Kafka and Spark on Kubernetes (K8s).
Collaborate with engineering, data science and product teams to ensure smooth integration across systems.
Diagnose and resolve performance, scalability and reliability incidents.
Apply and promote best practices in architecture, governance and data monitoring.
Requirements
Strong experience with data infrastructure ecosystems: Trino, AWS Glue, Terraform, CI/CD, Apache Airflow, Kafka and Spark on Kubernetes.
Proven experience with cloud computing (AWS).
Advanced proficiency in Python (including PySpark) and object-oriented programming.
Demonstrated experience with distributed systems, data warehouses and large-scale ETL/ELT pipelines.
Practical knowledge of data governance, security and storage (e.g., S3, Redshift).
Analytical skills and problem-solving with a focus on operational efficiency.
Good communication skills and experience working collaboratively.
Certifications such as AWS Certified Solutions Architect or similar (preferred).
Familiarity with Trino for ad-hoc analysis (preferred).
Experience with monitoring tools like Datadog or New Relic (preferred).
Knowledge of data-applied AI, particularly RAG (Retrieval-Augmented Generation) (preferred).
Benefits
Competitive compensation based on experience;
Opportunities for growth within the company and participation in strategic projects;
Dynamic and challenging work environment;
Opportunity to work at a growing company in the market.
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