• Diseñar, construir y mantener procesos de integración de datos (ETL/ELT) • Modelar información para análisis de negocio • Automatizar flujos de datos • Desarrollar soluciones que permitan la toma de decisiones basada en datos

• Report directly to a Manager of Data Engineering, who will provide significant, hands-on training on cutting-edge data tools and techniques. • Build and maintain end-to-end data pipelines. • Help with setting best practices for our data modeling and pipeline builds. • Create AI-ready analytical datasets designed with the structure, metadata, documentation, and business context needed for effective use by AI agents and insight-driven applications. • Become an expert at solving complex data pipeline issues using PySpark and SQL. • Collaborate with stakeholders to incorporate business logic into our central pipelines. • Deeply learn Databricks, Spark, AI, and other ETL toolings developed internally.

Role Description Invicta Software is seeking a detail-oriented and reliable Data Entry Assistant to join our dynamic team. This role is crucial in ensuring accurate and timely data management, supporting various departments to maintain high-quality information flow. If you have a keen eye for detail and enjoy working in a fast-paced environment, this opportunity offers a chance to contribute directly to our operational success. - Accurately input, update, and maintain data across multiple platforms and databases. - Support the team by verifying data integrity and resolving discrepancies. - Assist with organizing and managing digital and physical records to ensure accessibility and compliance. - Enter data from various sources into company systems with high accuracy and speed. - Review and verify data for completeness and correctness before submission. - Identify and correct errors or inconsistencies in data entries. - Maintain confidentiality and security of sensitive information. - Collaborate with team members to streamline data entry processes and improve efficiency. - Assist in generating reports and summaries as needed. - Perform routine backups to ensure data preservation. Qualifications - High school diploma or equivalent; additional certification in data management or related fields is a plus. - Proven experience in data entry or administrative support roles. - Proficiency with Microsoft Office Suite, especially Excel, and familiarity with database systems. - Strong attention to detail and ability to spot errors quickly. - Excellent organizational and time management skills. - Ability to work independently and as part of a team. - Good communication skills and a professional attitude. Benefits - Competitive salary and performance-based incentives. - Comprehensive health, dental, and vision insurance plans. - Opportunities for professional development and career growth. - Supportive and inclusive work environment. - Flexible work schedules and remote work options. - Paid time off and holiday benefits.

• Design, develop, and maintain scalable data pipelines using Databricks, PySpark, Python and SQL. • Build and optimise batch and near real-time data processing solutions on the Microsoft Azure ecosystem. • Develop and maintain Delta Lake-based data architectures. • Develop robust and scalable data products and modern data platform components supporting strategic business initiatives. • Contribute to CI/CD implementation and automation for data solutions. • Apply engineering best practices around source control, testing, deployment, and monitoring. • Support Infrastructure-as-Code and environment standardisation initiatives. • Ensure high standards of data quality, observability, monitoring, security, and operational reliability. • Collaborate with Product Managers, Architects, Data Engineers, and business stakeholders to deliver high-quality outcomes. • Participate in technical design discussions and contribute to solution architecture decisions. • Support platform governance, cost optimisation, technical documentation, and knowledge sharing initiatives.