Senior Data Engineer AWS

Description

Job Summary: We are seeking Senior Data Engineers with solid experience in cloud environments to design and build scalable and robust data solutions, driving digital transformation. Key Highlights: 1. Drive digital transformation with customized technology solutions. 2. Participate in the full lifecycle of data solution development on AWS. 3. Opportunity for professionals with strong analytical skills and a quality-focused mindset. DESCRIPTION At SG Tech, we drive organizational digital transformation through customized, sustainable, and results-oriented technology solutions. We bridge business, data, and technology using a flexible, close-knit, and impact-driven model. We champion talent, continuous learning, and professional growth within environments where innovation, collaboration, and technical excellence are part of everyday life. We are looking to onboard **4 Senior Data Engineers** with substantial cloud experience to participate in end-to-end data engineering initiatives. This role targets candidates with a holistic view of architecture and solution building—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 end-to-end development responsibilities—from design and construction through testing, deployment, and evolution of data solutions on AWS. They will participate in defining and implementing data lake, lakehouse, or data mesh architectures, collaborating closely 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 capabilities, sound technical judgment, and a quality-focused mindset—who can assess which technologies to apply in each context, anticipate future scenarios, and make well-founded decisions in complex environments. The role also requires autonomy, genuine ownership of 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, end-to-end data solutions with high engineering standards, this position may be an excellent fit for you. REQUIREMENTS **Mandatory** * Senior-level Data Engineer experience, with over 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**, particularly 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 an end-to-end perspective * Strong analytical capability to anticipate edge cases, scalability risks, and future impacts * Problem-solving orientation and attention to detail * Fluent English, **C1 level**, 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