Data Engineering Visionary

2 semanas atrás

São Paulo, São Paulo, Brasil beBeeDataEngineering Tempo inteiro US$90.000 - US$120.000
Senior Data Engineer Role

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries.

We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

As a Senior Data Engineer, you will play a key role in designing, building, and maintaining large-scale data pipelines and data processing systems in AWS.

You will 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:
  • 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 flexible time zones.
  • Upper-Intermediate English level.
Nice to 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:
  • Professional growth opportunities through mentorship and personalized growth roadmaps.
  • Competitive compensation based on your ever-growing skills and contributions.
  • A selection of exciting projects with modern solutions development and top-tier clients.
  • Flexible working hours and remote work options.

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