At Stefanini we are more than 30,000 geniuses, connected from more than 40 countries, we co-create a better future.
¡Apply Big Data Engineer!
Requirements:
2 years of experience as Big Data Engineer
Demonstrates up-to-date expertise in Data Engineering, complex data pipeline development.
Experience in agile models
Experience in 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 and/or Scala to write data pipelines and data processing layers
Experience in Airflow & Github.
English (intemediate)
Essential Duties and Responsibilities:
Develops efficient map-reduce jobs to process and analyze large-scale data sets.
Demonstrates expertise in writing complex, highly optimized queries using HIVE and Spark.
Applies in-depth knowledge of Big Data technologies including Spark, Hive, Kafka, BigQuery SQL, and HBase to deliver scalable solutions.
Exhibits strong proficiency in writing and tuning advanced SQL queries.
Leverages cloud platforms such as GCP, Azure, or AWS to build and maintain robust data pipelines.
Understands relational models and works effectively with in-memory data stores such as Oracle, Cassandra, and Druid.
Implements and maintains reliable data pipelines and analytical solutions for enterprise-scale operations.
Performs performance tuning and optimization on systems handling large data volumes to ensure high efficiency.
Consumes data from REST APIs and integrates it into existing data frameworks and services.
Brings valuable experience in the retail sector, contributing domain-specific insights to data-driven strategies.
?What's in for you?
Fully remote
Training Path
Life insurance
Punctuality bonus
Grocery vouchers
Restaurant vouchers
Legal benefits + Profit sharing (PTU)
Learning and Mentoring platforms
Discounts at language schools
Gym discount
Recuerda que ningún reclutador puede pedirte dinero a cambio de una entrevista o un puesto. Asimismo, evita realizar pagos o compartir información financiera con las empresas.