Data Platform Engineer Specialist: Building Scalable Data Solutions

2 meses atrás

São Paulo, São Paulo, Brasil Grupo QuintoAndar Tempo inteiro
About the Role

Grupo QuintoAndar is seeking a highly skilled Data Platform Engineer Specialist to join our team. As a key member of our data engineering team, you will be responsible for designing, implementing, and maintaining high-performance data platforms that meet the company's needs.

Key Responsibilities
  • Design and Implement Data Platforms: Develop and maintain scalable data platforms that connect with product solutions and lead analytical innovation.
  • Code Development Lifecycle: Responsible for the entire lifecycle of code development, including monitoring deployment, adding metrics and alarms, ensuring SLO budget, and more.
  • Stakeholder Alignment: Align with stakeholders to understand their primary needs and propose extensible, scalable, and incremental solutions.
  • Proof of Concepts and Benchmarks: Conduct PoCs and benchmarks to determine the best tool for a given problem and understand whether to use market solutions or develop internally.
  • Strategic Vision: Contribute to defining the strategic vision, crossing team and service boundaries to solve problems.
  • Technical Expertise: Be a reference within the chapter on technical concepts, tools, and/or best coding practices.
Requirements
  • Big Data Technologies: Specialist in technologies, solutions, and concepts of Big Data (Spark, Hadoop, Hive, MapReduce) and multiple languages (YAML, Python).
  • Programming Languages: Proficiency in Python, or one of the major programming languages, and a passion for writing clean and maintainable code.
  • Data Lifecycle: Understanding of the data lifecycle and concepts such as lineage, governance, privacy, retention, anonymization, etc.
  • Communication Skills: Excellent communication skills, proactively sharing and seeking context to collaborate with different teams.
Desirable Skills
  • Large-Scale Data Platforms: Specialist in building large-scale data platforms for large datasets and teams, using Big Data technologies such as Spark, Kafka, Debezium, Trino, Hive, Atlas, Ranger, etc.
  • Cloud Features: Fluency in AWS and GCP cloud features.
  • Data Workflows: Strong experience with Apache Airflow or other tools for data workflows.
  • Columnar Storage: Strong experience with columnar storage solutions and/or data lakehouse concepts.
  • Infrastructure: Knowledge in the area of infrastructure such as containers and orchestration (Kubernetes, ECS), CI/CD strategies, infrastructure as code (Terraform), observability (Prometheus, Grafana), among others.
  • Optimization: Understanding of how optimization works in various scenarios and how it can be improved, such as query performance, service scalability, and cluster management.
What We Offer
  • Competitive Salary Package
  • Bonus
  • Meal Allowance
  • Health Plan
  • Dental Plan (Optional)
  • Life Insurance
  • Daycare Subsidy
  • Subsidy to Sports Practicing
  • 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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