Senior Data Engineer developing high - impact data solutions in a collaborative financial team. Integrating data systems and ensuring performance with innovative technologies.
About the role
- Engenheiro de Dados na maior empresa de desenvolvimento de softwares para o mercado financeiro do Brasil. Cuidar e administrar dados e ambientes de banco de dados da companhia.
Responsibilities
- Take ownership of and manage all company data and database environments;
- Join the Data Engineering team at the largest software and product development company for Brazil's financial market;
- Work in complex environments with high data volumes.
Requirements
- Experience tuning complex environments (high data volume, users, and transactions);
- Strong knowledge of SQL Server internals (Query Processor, Storage Engine, and SQLOS);
- Understanding of page and table allocation/access structures, indexing, statistics, etc.;
- Experience interpreting and analyzing execution plans for investigation and diagnosis of performance issues;
- Skilled in configuring, tuning, and using Query Store and Extended Events;
- Good understanding of lock structures and transaction concurrency;
- Experience troubleshooting and resolving multiple lock and deadlock scenarios;
- Experience implementing, troubleshooting, and administering SQL Server high-availability features (Log Shipping and AlwaysOn);
- Knowledge of major SQL Server wait types for identifying and optimizing bottlenecks and issues;
- Familiarity with SQL Server DMVs and DMFs for identification, optimization, and troubleshooting.
Benefits
- Meal or food allowance (meal voucher);
- Flexible benefits (Flash);
- Medical insurance;
- Partners for psychological, legal, financial and nutritional support (CLUDE, C4LIFE and ASQ);
- Psicologia Viva (mental health service);
- Dental insurance;
- Childcare allowance;
- Support for children with special needs;
- Fertility treatment assistance;
- Extended maternity and paternity leave;
- Transportation voucher or Home Office allowance (for telework contracts);
- Gympass (Wellhub) and TotalPass;
- Flexible working hours;
- Life insurance;
- Partnerships club (employee discounts and partner offers);
- Partnership with Sesc;
- Just Dress — no dress code;
- Birthday day off;
- Education grant (scholarship/incentive program);
- PPR or bonus — based on achievement of targets and results.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Data Engineer developing data pipelines and infrastructure on Google Cloud Platform for WorkWhile's staffing marketplace. Collaborating with Data Science and Engineering teams to enhance data quality and availability.
Data Engineer developing data platforms for a consulting firm focused on quality solutions. Collaborating within a small team to deliver robust infrastructure and systems.
Senior Data Engineer designing and maintaining data pipelines within a fast - growing social impact startup. Collaborate cross - functionally to enhance products and analytics capabilities.
Senior Associate in data engineering at PwC focusing on designing robust data solutions. Leading complex data pipeline projects and collaborating with cross - functional teams to support automation and analytics.
Data Engineering & Warehousing Manager overseeing data engineering and warehousing operations at Hastings Insurance. Leading pipelines, platforms, and technical teams for enterprise data insights.
Software Engineer contributing to Machine Learning initiatives and data infrastructure at AKASA. Working in a hybrid setup between South San Francisco and NYC.
Senior Data Engineer delivering scalable data solutions in data engineering team at fintech startup. Building and maintaining data pipelines, collaborating with cross - functional teams for accurate data delivery.
Senior Enterprise Data Architect at Fresenius Kabi shaping data governance and architecture strategies across the enterprise for data - driven decision - making.
Database Engineer I focused on acquisition and integration of data into Data Lake. Responsible for management of databases and leading company’s data strategy.