Reply
Reply specialises in the design and implementation of solutions based on new communication channels and digital media. As a network of highly specialised companies, Reply defines and develops business models enabled by the new models of AI, big data, cloud computing, digital media and the internet of things. Reply delivers consulting, system integration and digital services to organisations across the telecom and media; industry and services; banking and insurance; and public sectors.
10,000+ employees
Founded 1996
Data Engineer, Mid-level
Job not on LinkedIn
October 23
🗣️🇧🇷🇵🇹 Portuguese Required
Reply
Reply specialises in the design and implementation of solutions based on new communication channels and digital media. As a network of highly specialised companies, Reply defines and develops business models enabled by the new models of AI, big data, cloud computing, digital media and the internet of things. Reply delivers consulting, system integration and digital services to organisations across the telecom and media; industry and services; banking and insurance; and public sectors.
10,000+ employees
Founded 1996
📋 Description
• Build and manage reliable data pipelines covering ingestion/collection, processing, integration, storage, and data provisioning across the organization. • Work within a distributed systems architecture for massively parallel data processing (MPP), combining multiple heterogeneous data sources and collaborating with analytics and data science teams to build solutions and deliver data-driven value.
🎯 Requirements
• Hands-on experience with ingestion, integration, processing, and storage of large volumes of data; • Experience working on Big Data projects; • Behavior Driven Development (BDD). • Data extraction using Python and data processing with PySpark; • Experience with ETL tools; • Knowledge of relational and dimensional data modeling (Data Warehouse); • Experience with SQL databases; • Experience with AWS Big Data toolset such as EMR, Kinesis, Redshift, S3, Glue, Elasticsearch; • Knowledge of Kafka; • Knowledge of Data Lake and DataOps. • AWS certifications are a plus; • Experience with cloud infrastructure-as-code tools such as Terraform and CloudFormation.
🏖️ Benefits
• Swile flexible card for meal and grocery expenses (VA and VR) • Totalpass or Gympass • Mental health support – Psicologia Viva • Bradesco Health Insurance • Bradesco Dental Plan • Profit sharing • Childcare assistance for new mothers • Support for certification costs • Special talks and webinars • RAF referral bonus program • Life insurance • Subsidy for English or Italian lessons • Discount for Open English • Birthday gift • Relocation possibility (international) • Partnerships with universities
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