Data Engineer

Job not on LinkedIn

🕒 April 12

🏢🏡 São Paulo – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

🗣️🇧🇷🇵🇹 Portuguese Required

Apply Now
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Logo of QSOFT

QSOFT

WebsiteLinkedIn

11 - 50 employees

Founded 2000

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

QSOFT is a data and AI consulting company that helps enterprises transform their data into actionable business intelligence. The firm provides services such as data strategy and governance, analytics, BI and self-service platforms, AI and AutoML, custom projects, staff augmentation (squads), support and training, and delivers data products like dashboards and predictive models. QSOFT partners with major data technology vendors and serves large clients across industries (automotive, healthcare, retail, industrial) to modernize data platforms and enable data-driven decision making.

📋 Description

• Development of projects, deployments, implementations, and preventive, predictive, and corrective maintenance • Optimization of existing resources/services • Development of new projects and services • Monitoring and control of expenses related to this infrastructure • Participation in data projects • Execution of operational routines • Resolution of infrastructure incidents; apply changes and updates • Communication with clients and stakeholders to support projects • Documentation and processes

🎯 Requirements

• Bachelor's degree completed or in progress in IT or a related field • Programming knowledge (Python, Java or Scala) • Database knowledge (MySQL; PostgreSQL; NoSQL: MongoDB; Cassandra) • Skills in data processing and storage (Hadoop, Spark and Apache Kafka) • Knowledge of Big Data technologies (Hadoop, MapReduce, Hive, Pig, Spark, Synapse and Fabric, among others) • Experience with data pipelines (extraction, transformation and loading (ETL) of data from multiple sources), building data processing workflows, and implementing data quality and monitoring processes • Cloud knowledge (Google Cloud, AWS, Azure) • Understanding of data architecture concepts • Knowledge of data security and privacy (GDPR) • Availability to work onsite in Pinheiros once per week

🏖️ Benefits

• Health insurance with no co-pay • Dental plan • Life insurance • Birthday day off • Total Pass • C4life • Meal voucher (VR) • Home office allowance (Flash) • Alura platform 50% off

Apply Now

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