Job Summary: We are seeking an experienced Data Engineer to design, develop, and operate large-scale data systems, with a focus on real-time data pipelines and Big Data. Key Highlights: 1. Design and develop large-scale data systems with a focus on scalability. 2. Work with Big Data technologies such as Hadoop, Spark, Kafka, and Hive. 3. Collaborate with engineers and PMs to deliver robust technical solutions. Join Stefanini! At Stefanini, we are more than 30,000 geniuses connected from 41 countries, doing what they love and co-creating a better future. **Responsibilities and Duties** Data Engineer. As part of the Data Engineer team, you will be responsible for design, development and operations of large-scale data systems operating at petabytes scale. You will be focusing on real-time data pipelines, streaming analytics, distributed big data and machine learning infrastructure. You will interact with the engineers, product managers, BI developers and architects to provide scalable robust technical solutions. **Essential Job Functions & Responsibilities:** ================================================ * Min 6-8 years of BIG data development experience. * Demonstrates up-to-date expertise in Data Engineering, complex data pipeline development. * Experience in agile models * Design, develop, implement and tune large-scale distributed systems and pipelines that process large volume of data; focusing on scalability, low -latency, and fault-tolerance in every system built. * Experience with Java, Python to write data pipelines and data processing layers * Experience in Airflow & Github. * English conversational * Experience in writing map-reduce jobs. * Demonstrates expertise in writing complex, highly-optimized queries across large data sets * Proven, working expertise with Big Data Technologies Hadoop, Hive, Kafka, Presto, Spark, HBase. * Highly Proficient in SQL. * Experience with Cloud Technologies ( GCP, Azure) * Experience with relational model, memory data stores desirable ( Oracle, Cassandra, Druid) * Provides and supports the implementation and operations of the data pipelines and analytical solutions * Performance tuning experience of systems working with large data sets * Experience in REST API data service – Data Consumption * Retail experience is a huge plus. **Requirements and Qualifications** Solid experience in data engineering, handling large volumes of information, ETL, data modeling, and tools such as Spark, Python, SQL, etc. **Additional Information** * Competitive salary based on experience * Statutory benefits * Paid overtime days * Partnerships with language schools, entertainment venues, courses, and more * Food vouchers Are you looking for a place where your ideas shine? With over 38 years of experience and a global presence, at Stefanini we transform tomorrow together. Here, every action matters and every idea can make a difference. Join a team that values innovation, respect, and commitment. If you are a disruptive individual, committed to continuous learning, and innovation is in your DNA, then we’re what you’re looking for. Come and let’s build a better future together!