Mid-Level Data Engineer

🔥 1 minute 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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FCamara Consulting & Training

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

🛡️ Insurance

📦 Logistics

Healthcare • Insurance • Logistics

FCamara Consulting & Training is a Brazilian multinational firm specializing in digital transformation and consulting services. With over 17 years in the market, FCamara's ecosystem focuses on innovation, e-commerce, digital strategy, and the integration of technology solutions such as artificial intelligence and cybersecurity. The company collaborates with a variety of sectors including retail, healthcare, finance, and logistics, empowering more than 1,000 businesses to evolve in the digital realm.

📋 Description

• Design, implement, and optimize ETL (Extract, Transform, and Load) pipelines to ensure seamless data flow between systems. • Use tools such as Apache Airflow to orchestrate and schedule data processing tasks. • Create and manage functions in cloud environments (e.g., AWS Lambda and Google Cloud Functions) to automate processes and handle data. • Integrate cloud data services to improve scalability and efficiency. • Configure and maintain Grafana dashboards to monitor data pipeline performance and identify potential bottlenecks. • Implement alerts and metrics to ensure data integrity and availability. • Document data processes and routines to ensure transparency and facilitate maintenance. • Participate in Engineering Change Proposals (ECPs) to propose improvements and innovations to workflows and data architecture. • Work closely with data science teams, analysts, and developers to understand requirements and ensure solutions meet business needs. • Participate in planning and review meetings to align objectives and priorities. • Implement and monitor data validation processes to ensure the quality and accuracy of information. • Conduct tests and audits of data pipelines to identify and resolve issues.

🎯 Requirements

• Proficiency in SQL and programming languages such as Python or Java. • Experience with ETL and data integration tools. • Strong understanding of cloud data architectures (e.g., AWS, Google Cloud, and Azure). • In-depth knowledge of Apache Airflow for workflow management. • Ability to configure and use monitoring tools such as Grafana. • Familiarity with cloud services (e.g., S3, BigQuery, and Redshift) and their best practices. • Knowledge of cost management and resource optimization in cloud environments.

🏖️ Benefits

• This position is also open to applicants with disabilities.