Senior Data Architect

Há 20 horas

Campinas, São Paulo, Brasil beBeeData Tempo inteiro US$100.000 - US$150.000

Job Description

We are seeking a Senior Data Engineer to own our data infrastructure, designing and optimizing high-performance, scalable solutions. You will work with AWS and big data frameworks like Hadoop and Spark to drive impactful data initiatives across the company.

Key Responsibilities:

  • Design, build, and maintain large-scale data pipelines and data processing systems in AWS.
  • Develop and optimize distributed data workflows using Hadoop, Spark, and related technologies.
  • Collaborate with data scientists, analysts, and product teams to deliver reliable and efficient data solutions.
  • Implement best practices for data governance, security, and compliance.
  • Monitor, troubleshoot, and improve the performance of data systems and pipelines.
  • Mentor junior engineers and contribute to building a culture of technical excellence.
  • Evaluate and recommend new tools, frameworks, and approaches for data engineering.

Requirements

To be successful in this role, you will need:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 5+ years of experience in data engineering, software engineering, or related roles.
  • Strong hands-on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift, etc.).
  • Deep knowledge of big data ecosystems, including Hadoop (HDFS, Hive, MapReduce) and Apache Spark (PySpark, Spark SQL, streaming).
  • Strong SQL skills and experience with relational and NoSQL databases.
  • Proficiency in Python, Java, or Scala for data processing and automation.
  • Experience with workflow orchestration tools (Airflow, Step Functions, etc.).
  • Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts.
  • Excellent problem-solving skills and ability to work in fast-paced environments.
  • Ability to work in German Time Zone (6:00-7:00 am to 2:00-3:00 pm Brazil/ART time).
  • Upper-Intermediate English level.

Nice to Have

If you have experience with:

  • Real-time data streaming platforms (Kafka, Kinesis, Flink).
  • Knowledge of containerization and orchestration (Docker, Kubernetes).
  • Familiarity with data governance, lineage, and catalog tools.
  • Previous leadership or mentoring experience.

Perks and Benefits

As a member of our team, you will enjoy:

  • Professional growth through mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation based on your skills and talent.
  • A selection of exciting projects with modern solutions development and top-tier clients.
  • Flextime to tailor your schedule for an optimal work-life balance.

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