Senior Data Engineer

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 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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Zup Innovation

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

📣 Marketing

🔌 API

💼 Consulting

Marketing • API • Consulting

Zup Innovation is a tech company with over 12 years of experience, specializing in building secure and scalable systems using distributed architectures and cloud-native solutions. They focus on helping large market players enhance their application development, achieving faster time-to-market with significant reductions in coding requirements. Additionally, Zup Innovation offers high-tech consulting services and developed StackSpot, an enterprise developer platform designed for creating, sharing, and reusing technology standards from ideation to deployment.

📋 Description

• Build data ingestion, transformation, and integration pipelines in scalable environments. • Develop and maintain robust architectures for Data Lakes, Data Warehouses, and Lakehouses. • Ensure data quality, governance, and security throughout all stages of the data lifecycle. • Implement and optimize ETL/ELT processes with a focus on performance and reliability. • Define technical standards and best practices for the efficient use of data platforms. • Integrate multiple data sources and destinations, promoting interoperability. • Collaborate with cross-functional teams to align data solutions with the organization’s strategy.

🎯 Requirements

• Advanced proficiency in SQL for manipulating and analyzing large volumes of data. • Solid experience with Python or Scala applied to data engineering. • Proven experience with Spark for distributed processing. • Deep knowledge of Data Lake, Data Warehouse, and Lakehouse architecture and implementation. • Hands-on experience with ETL/ELT tools in cloud environments. • Advanced experience in data modeling and governance at organizational scale. • Knowledge of and hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud.

🏖️ Benefits

• Freedom to work from anywhere • Flexible working hours • Education assistance • Proprietary career development platform • Internal guilds and study and interest groups • Health insurance • Dental insurance • 24/7 telemedicine • Free online therapy • Wellhub • Extended maternity leave • Extended paternity leave • CAZ – Zuppers’ Support Center • Meal and food allowance • Life insurance • Transportation allowance • Home office allowance • Childcare assistance • Mobile phone plan allowance • Profit-sharing and results-based bonus