
10,000+ employees
Founded 1996
đĄď¸ Insurance
đŚ Logistics
đŁ Marketing
Insurance ⢠Logistics ⢠Marketing
Reply is a company that designs and implements innovative solutions in the areas of Digital Services, Technology, and Consulting. Specializing in fields such as Artificial Intelligence, Machine Learning, Digital Transformation, and Cloud Computing, Reply operates as a network of highly specialized companies that define business models enabled by new technologies. They deliver consulting, system integration, and digital services across various sectors, including telecom, media, banking, insurance, and public sectors.
đĽ 0 minutes ago
đ§đˇ Brazil â Remote
â° Full Time
đĄ Mid-level
đ Senior
đ° Data Engineer
đť Ghost score 10%
đŁď¸đ§đˇđľđš Portuguese Required
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10,000+ employees
Founded 1996
đĄď¸ Insurance
đŚ Logistics
đŁ Marketing
Insurance ⢠Logistics ⢠Marketing
Reply is a company that designs and implements innovative solutions in the areas of Digital Services, Technology, and Consulting. Specializing in fields such as Artificial Intelligence, Machine Learning, Digital Transformation, and Cloud Computing, Reply operates as a network of highly specialized companies that define business models enabled by new technologies. They deliver consulting, system integration, and digital services across various sectors, including telecom, media, banking, insurance, and public sectors.
⢠Build and manage reliable data pipelines encompassing ingestion/collection, processing, integration, storage, and data delivery ⢠Work on distributed system architectures for massive parallel processing (MPP) ⢠Combine multiple heterogeneous data sources ⢠Collaborate with analytics and data science teams to build solutions and generate data-driven value
⢠Practical experience with ingestion, integration, processing, and storage of large volumes of data ⢠Experience working on Big Data projects ⢠Behavior Driven Development (BDD) ⢠Data extraction in 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 Big Data tools on AWS: EMR, Kinesis, Redshift, S3, Glue, and Elasticsearch ⢠Knowledge of Kafka ⢠Knowledge of Data Lake and DataOps ⢠AWS certifications (preferred) ⢠Knowledge of Terraform or CloudFormation (preferred)
⢠Swile flexible card to use as you wish (meal and grocery allowances) ⢠Totalpass or Gympass ⢠Mental health support via Psicologia Viva ⢠Bradesco Health Plan ⢠Bradesco Dental Plan ⢠Profit sharing ⢠Childcare assistance for mothers ⢠Incentives for certifications ⢠Special lectures and webinars ⢠RAF referral bonus program ⢠Life insurance ⢠Subsidy for English or Italian courses ⢠Open English discount ⢠Birthday gift ⢠Possibility of relocation to another country ⢠Partnerships with universities
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