Data Engineer

Há 7 dias

Curitiba, Brasil AgileEngine Tempo inteiro

Join to apply for the Data Engineer (Senior) ID40199 role at AgileEngine

ABOUT THE ROLE

We are looking for a Senior Data Engineer to take ownership of our data infrastructure, designing and optimizing high-performance, scalable solutions. You’ll work with AWS and big data frameworks like Hadoop and Spark to drive impactful data initiatives across the company.

WHAT YOU WILL DO

  • 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.

MUST HAVES

  • 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 TimeZone (6:00–7:00 AM to 2:00–3:00 PM Brazil/ART time);
  • Upper-Intermediate English level.

NICE TO HAVES

  • 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

  • Professional growth: mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD-based compensation and budgets for education, fitness, and team activities.
  • A selection of exciting projects: projects with modern solutions development and top-tier clients.
  • Flextime: options for working from home or in the office to support work-life balance.

Location: Greater Curitiba

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