July 13
Airflow
Apache
AWS
Benchmarks
Cloud
Flash
Google Cloud Platform
Grafana
Hadoop
Kafka
Kubernetes
MapReduce
Prometheus
Python
Spark
Terraform
Go
• Build and maintain a high-performance data platform that meets the company's needs, connects with product solutions, and leads analytical innovation, enabling amazing architectures and efficient platforms; • Responsible for the entire lifecycle of code development (monitoring deployment, adding metrics and alarms, ensuring SLO budget, and more); • Align with stakeholders to understand their primary needs, but also have a holistic view of the problem and propose extensible, scalable, and incremental solutions; • Conduct PoCs and benchmarks to determine the best tool for a given problem, as well as understand whether to use market solutions or develop internally; • Contribute to defining the strategic vision, crossing team and service boundaries to solve problems; • Be a reference within the chapter on technical concepts, tools, and/or best coding practices
• Specialist in technologies, solutions, and concepts of Big Data (Spark, Hadoop, Hive, MapReduce) and multiple languages (YAML, Python) • Proficiency in Python, or one of the major programming languages, and a passion for writing clean and maintainable code. You might even be a Software Engineer with a focus or passion for data-oriented solutions • Understanding of the data lifecycle and concepts such as lineage, governance, privacy, retention, anonymization, etc. • Excellent communication skills, proactively sharing and seeking context to collaborate with different teams
• Competitive salary package • Bonus • Meal allowance ("Flash benefícios") • Health plan • Dental plan (optional) • Life insurance • Daycare subsidy • Subsidy to sports practicing (Gympass) • Extended maternity and paternity leave • Reserved room for breast-feeding* • Discount on our parking lot;* • Language learning support • Free transfer from Vila Madalena and Fradique Coutinho stations to the office* • Free bike rack in our parking lot.*
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