Data Engineer – Airflow, AWS

Job not on LinkedIn

🔥 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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Stefanini Brasil

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1987

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Stefanini Brasil is a leading provider of digital transformation solutions, offering a range of services including artificial intelligence, cybersecurity, cloud enablement, and consulting. With over 35 years of experience, the company focuses on integrating innovative technologies to help organizations enhance their operations and customer experiences across various industries. Their expertise extends to sectors like healthcare, retail, and industrial goods, enabling businesses to optimize processes and drive value through technology.

📋 Description

• Build, maintain, and enhance data pipelines using Apache Airflow (MWAA) • Build data ingestion, transformation, and delivery processes (ETL/ELT) • Develop solutions using Python, Spark, and AWS services • Implement and support data architectures in Data Lake, Lakehouse, and Data Warehouse environments • Perform data modeling to meet analytical and business needs • Ensure the quality, governance, and observability of processed data • Monitor and optimize the performance of pipelines and data processes • Collaborate with business, analytics, and technology teams to evolve the data platform • Support the definition of best practices, standards, and continuous improvements across the data ecosystem

🎯 Requirements

• Strong experience with Apache Airflow (MWAA) for data pipeline orchestration • Python development for building and maintaining ETL/ELT processes • Advanced knowledge of SQL Server • Experience with Apache Spark for processing large volumes of data • Hands-on experience with AWS services, especially Redshift, S3, Glue, and MWAA • Knowledge of data modeling for analytical environments • Experience with Data Warehouses, Data Lakes, and Lakehouses • Knowledge of Medallion Architecture (Bronze, Silver, and Gold) • Experience with data governance, quality, and observability • Experience developing, optimizing, and monitoring data pipelines

🏖️ Benefits

• Meal or food allowance • Discounts on courses, universities, and language institutions • Stefanini Academy — a platform offering free, up-to-date online courses with certificates • Mentoring • Benefits club offering discounts on consultations and medical tests • Health insurance • Dental insurance • Benefits and discounts at leading establishments • Travel club • Pet care benefits • 100% remote work