Senior Data Engineer, Data Quality Focus

Job not on LinkedIn

🕒 July 24

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 41%

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

• Develop and implement data quality processes across the data engineering lifecycle. • Document, test, validate, and approve developed pipelines and solutions. • Ensure the quality, consistency, and reliability of data delivered to end consumers. • Develop solutions using Python, SQL, and PySpark in a Databricks environment. • Build and maintain notebooks and data processing pipelines. • Participate in requirements analysis with business stakeholders. • Perform unit testing and support solution validation and approval processes. • Research, design, and develop new data engineering solutions. • Continuously improve the reliability, efficiency, and quality of processes and data. • Share technical knowledge and best practices for data engineering and data quality with the team. • Help ensure data generates value for business areas and supports decision-making.

🎯 Requirements

• Minimum 4 years of experience in Data Engineering. • Strong knowledge of Python and SQL for data transformation, analysis, and cleansing. • Experience with PySpark. • Experience with Databricks, including developing notebooks in Python and PySpark. • Experience with testing, validation, and solution approval practices for data solutions. • Experience in requirements analysis and development of data engineering solutions. • Knowledge of DevOps tools and practices, including: Git, Docker, Jira, Bitbucket, Bamboo, Nexus, microservices. • Commitment to delivery quality and development best practices.

🏖️ Benefits

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