Senior Data Engineer AWS

Description

Job Summary: We are seeking 4 Senior Data Engineers to drive digital transformation through customized, sustainable technological solutions in cloud environments. Key Highlights: 1. Participate in the full lifecycle of data solution development on AWS. 2. Design and build scalable data frameworks and platforms. 3. Collaborate in international environments with a focus on quality and innovation. DESCRIPTION At SG Tech, we drive organizational digital transformation through customized, sustainable, and results-oriented technological solutions. We bridge business, data, and technology using a flexible, close-knit, and impact-focused model. We champion talent, continuous learning, and professional growth within environments where innovation, collaboration, and technical excellence are part of everyday life. We seek to onboard **4 Senior Data Engineers** with solid cloud experience to participate end-to-end in data engineering initiatives. This position targets professionals with a global architectural vision for designing and building solutions—capable of going beyond isolated pipeline development to design reusable frameworks, platforms, and components that support scalable and robust data ecosystems. The successful candidate will assume responsibility across the full development lifecycle—from design and construction through testing, deployment, and evolution of AWS-based data solutions. They will participate in defining and implementing data lake, lakehouse, or data mesh architectures, closely collaborating with other data engineering, analytics, and DevOps profiles to enable business solutions aligned with scalability, maintainability, and data governance principles. This is an opportunity for professionals with strong analytical ability, sound technical judgment, and a quality orientation—who can evaluate which technologies to apply in each context, anticipate future edge cases, and make well-founded decisions in complex environments. The role also requires autonomy, genuine ownership over deliverables, and fluent English communication within an international context. At SG Tech, we especially value individuals who combine deep technical expertise, a collaborative mindset, and a commitment to continuous improvement. If you are motivated to build impactful data solutions with end-to-end vision and high engineering standards, this position may be an excellent fit for you. REQUIREMENTS **Mandatory** * Senior-level Data Engineer experience, with more than 5 years in cloud environments * Solid experience in end-to-end design, development, testing, and deployment of data solutions * Ability to build data frameworks and platforms—not just individual pipelines * Advanced proficiency in **Spark / Scala** * Advanced proficiency in **Python** * Advanced proficiency in **SQL** * Solid experience with **AWS**, especially with the following services: * S3 * Glue * Athena * EMR * EC2 * Lambda * Experience in **ETL design** and **data modeling** * Knowledge and experience with **data lake**, **lakehouse**, or **data mesh** architectures * Ability to understand business processes and make technical decisions with end-to-end vision * Strong analytical capability to anticipate edge cases, scalability risks, and future impacts * Problem-solving orientation and attention to detail * Fluent English, level **C1**, mandatory for performing the role * University degree in technology, preferably in computer science or related disciplines **Desirable** * Familiarity with **CI/CD** tools such as **GitHub Actions** * Experience with **Apache Iceberg** or equivalent table formats * Exposure to data quality frameworks such as **Great Expectations** or **Deequ** * Knowledge of **Bash** * Knowledge of **HCL** * Preference for candidates located in cities where SG Tech has a presence, although highly skilled remote candidates will also be considered