.At Talentus, we are looking for you!We are a US company with a strong presence in LATAM and across 20 countries around the world. Some of our key near-shore BPO services include: smart-sourcing, dedicated or cluster teams, managed IT services, software outsourcing and the top ERP & CRM solutions, driven by our practices across many different industries.We are currently looking for a Data Engineer to become a valuable addition to our dynamic team! The Data Engineer will work closely with a multi-disciplinary agile team to build high-quality data pipelines driving analytic solutions. These solutions will generate insights from the organization's connected data, enabling the advancement of data-driven decision-making capabilities of the enterprise. This role requires a deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data engineer with experience creating data products supporting analytics solutions. Finally, possessing strong problem-solving skills, working as part of a technical, cross-functional analytics team, and desiring to solve complex data problems and deliver the insights to enable analytics strategy.Responsibilities:Design, develop, and maintain data pipelines to ingest, process, and store large volumes of structured and unstructured data from various sources.Implement ETL (Extract, Transform, Load) processes to ensure data is transformed and loaded into data warehouses, data lakes, or other storage solutions.Create data products for analytics and data scientist team members to improve their productivity.Create and maintain comprehensive documentation for data pipelines, data models, and database configurations.Conduct training sessions and provide support to end-users and other team members on data access and usage.Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.Develop and implement data quality checks, validation rules, and monitoring processes to ensure data accuracy and completeness.Collaborate with data governance teams to establish and enforce data standards and best practices.Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.Key Skills:Domain Expertise:Bachelor's degree preferred; Computer Science, MIS, or Engineering preferred.5+ years of experience working in data engineering or architecture role, 7+ preferred (3 years preferred for Jr. role).Significant experience developing and maintaining data warehouses in big data solutions (e.G., Snowflake, SAP Hana, Oracle, SQL Server, Teradata, etc.).Proficiency in programming languages such as Python, Java, Scala, or SQL.Experience developing and maintaining ETL/data pipelines (e.G., Microsoft SSIS, Azure Data Factory)
