Mid-Level Data Engineer

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Reply

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

🛡️ Insurance

📦 Logistics

📣 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.

📋 Description

• Build and manage reliable data pipelines for data ingestion/collection, processing, integration, storage, and delivery • Work on distributed systems architectures for parallel processing of large volumes of data (MPP) • Combine diverse heterogeneous data sources • Collaborate with analytics and data science teams to build data-driven solutions and generate value

🎯 Requirements

• Hands-on experience with ingesting, integrating, processing, and storing large volumes of data • Experience working on Big Data projects • Behavior-Driven Development (BDD) • Data extraction with 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, including EMR, Kinesis, Redshift, S3, Glue, and Elasticsearch • Knowledge of Kafka • Knowledge of Data Lakes and DataOps • AWS certifications are desirable • Knowledge of Terraform or CloudFormation is desirable

🏖️ Benefits

• Flexible Swile card to use as you choose (meal and food allowances) • TotalPass or Gympass • Mental Health Support – Psicologia Viva • Bradesco Health Insurance • Bradesco Dental Insurance • Profit Sharing • Childcare Allowance for mothers • Certification incentives • Special talks and webinars • RAF referral bonus program • Life Insurance • English or Italian language subsidy • Open English discount • Birthday gift • Possibility of relocating to another country • University partnerships