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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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

• Design, develop, maintain, and optimize medium- and high-complexity data pipelines • Build scalable solutions for ingesting, transforming, and processing large volumes of data • Develop solutions using Python, SQL, Spark, and PySpark • Create, enhance, and optimize solutions on the Databricks platform • Work with Data Lake, Lakehouse, and Data Warehouse architectures • Define partitioning, distributed processing, and performance optimization strategies • Investigate and resolve critical issues related to data processing, integration, and quality • Implement observability, monitoring, alerting, and data quality control mechanisms • Apply best practices for security, governance, privacy, and data protection • Participate in technical decisions and in defining development standards and best practices • Conduct code reviews, share knowledge, and provide technical support to Mid-Level and Junior professionals • Collaborate with Architecture, Security, Infrastructure, Development, and Business teams • Support technical estimates, scope definition, and delivery planning • Contribute to the technical and operational maturity of data solutions

🎯 Requirements

• Solid experience in Data Engineering • Proven experience with highly complex solutions and large-scale data processing • Advanced knowledge of Python • Advanced knowledge of SQL • Advanced knowledge of Apache Spark/PySpark • Experience with Databricks • Experience with ETL/ELT processes and distributed processing • Knowledge of Azure Data Lake Storage (ADLS) • Experience with Azure Data Factory or equivalent orchestration tools • Knowledge of relational and non-relational databases (SQL and NoSQL) • Experience with Data Lake, Lakehouse, and Data Warehouse architectures • Knowledge of data modeling • Experience with Git and CI/CD practices • Knowledge of APIs and system integration • Knowledge of security, governance, and data protection • Knowledge of optimization and tuning for data pipelines and processes • Experience working in Cloud environments and with development, maintenance, and operations practices for business-critical solutions • Nice to have: Delta Lake, Databricks Workflows, Unity Catalog, Kafka, Azure Event Hubs, Terraform, Infrastructure as Code (IaC), Microsoft Azure or Databricks certifications, experience in the financial or banking sector, and observability frameworks/tools applied to data

🏖️ Benefits

• Meal allowance or meal voucher • Discounts on courses, universities, and language schools • 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