Senior Data Engineer Role

Há 17 horas


Rio de Janeiro, Rio de Janeiro, Brasil beBeeData Tempo inteiro US$90.000 - US$120.000
Senior Data Engineer Job Summary: We are seeking an experienced Senior Data Engineer to design and optimize high-performance, scalable data infrastructure solutions. As a key member of our team, you will work with AWS and big data frameworks like Hadoop and Spark to drive impactful data initiatives across the organization. Key Responsibilities:
  • Design and Build Large-Scale Data Pipelines: Develop, maintain, and optimize large-scale data pipelines and data processing systems in AWS.
  • Distributed Data Workflows: Develop and optimize distributed data workflows using Hadoop, Spark, and related technologies.
  • Collaboration: Collaborate with data scientists, analysts, and product teams to deliver reliable and efficient data solutions.
  • Data Governance: Implement best practices for data governance, security, and compliance.
  • Monitoring and Troubleshooting: Monitor, troubleshoot, and improve the performance of data systems and pipelines.
  • Mentorship: Mentor junior engineers and contribute to building a culture of technical excellence.
  • Tool Evaluation: Evaluate and recommend new tools, frameworks, and approaches for data engineering.
Requirements: Mandatory Skills:
  • Affiliation and Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Work Experience: 5+ years of experience in data engineering, software engineering, or related roles.
  • Cloud Services: Strong hands-on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift, etc.).
  • Big Data Ecosystems: Deep knowledge of big data ecosystems, including Hadoop (HDFS, Hive, MapReduce) and Apache Spark (PySpark, Spark SQL, streaming).
  • Database Expertise: Strong SQL skills and experience with relational and NoSQL databases.
  • Programming Skills: Proficiency in Python, Java, or Scala for data processing and automation.
  • Workflow Orchestration: Experience with workflow orchestration tools (Airflow, Step Functions, etc.).
  • Data Modeling: Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts.
  • Time Zone Flexibility: Ability to work in a specified time zone.
  • Language: Upper-Intermediate English level.
Nice to Have Skills:
  • Real-Time Streaming: Experience with real-time data streaming platforms (Kafka, Kinesis, Flink).
  • Containerization and Orchestration: Knowledge of containerization and orchestration (Docker, Kubernetes).
  • Data Governance Tools: Familiarity with data governance, lineage, and catalog tools.
  • Leadership Experience: Previous leadership or mentoring experience.
Benefits:
  • Professional Growth: Opportunities for mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive Compensation: Competitive USD-based compensation and budgets for education, fitness, and team activities.
  • Flexible Schedule: Flexible schedule with options to work from home or in the office for work-life balance.

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