Data Engineer – Mid/Senior

Job not on LinkedIn

🕒 March 27

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 76%

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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Five Acts

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2005

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Five Acts is a company specialized in building and evolving data platforms using modern technologies and cloud architecture. Through their accelerators and processes, they create data products that deliver value swiftly for businesses. Five Acts focuses on data engineering, analytical intelligence, and machine learning to help companies harness the power of their data, transforming it into actionable insights. With over 300 clients and a strong track record of completed projects, Five Acts is dedicated to helping organizations improve through effective data strategies.

📋 Description

• Design, maintain, and improve data flows (ETL and ELT) in highly complex scenarios • Transform data • Develop, test, validate, deploy, troubleshoot, deliver, and automate tests for complex routines and processes • Use Hadoop, Spark, and cloud platforms (Azure, AWS, GCP) to build and run data pipelines • Participate in team and client meetings and in Agile project ceremonies • Interact with complex business stakeholders to validate deliverables and make necessary adjustments, and support/mentor mid-level Data Engineers • Identify opportunities to improve processes, and design and implement proposed solutions such as automation of manual processes, optimization of data delivery, architectural improvements to increase performance, and more • Continuously design and enhance data pipeline architectures • Combine diverse large and complex datasets to meet functional and non-functional business requirements

🎯 Requirements

• Strong proficiency in Databricks • Solid experience with SQL and Python • Experience with cloud data stacks (Azure, AWS, GCP) and DataOps practices • Experience building data pipelines using big data tools • Customer-focused mindset with the ability to communicate ideas clearly and concisely, and strong problem-solving skills

🏖️ Benefits

• Meal and food vouchers (Swile) • Flexible home-office allowance credit (Swile) • Up to 100% coverage for health and dental plans • Group life insurance • Remote work • Mental health support — online and in-person psychotherapy • Support for certifications and courses • Partnership for postgraduate and MBA programs (ESALQ/USP) • Partnerships with language schools • Partnerships with gyms and wellness apps (Wellhub) • Internal talks and roundtable discussions • Referral bonus • Happy hours • Gifts on special occasions