Data Engineer

1 semana atrás

São Bernardo do Campo, São Paulo, Brasil AgileEngine Tempo inteiro
Overview

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.

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 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: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
  • A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
  • Flextime: Tailor your schedule for an optimal work-life balance, with options to work from home or in the office.

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