Data Engineer

Há 2 dias

Manaus Pernambuco Brazil AgileEngine Tempo inteiro
Overview

Data Engineer (Senior) ID40199 at AgileEngine. AgileEngine is an Inc. 5000 company that creates software for Fortune 500 brands and startups across 17+ industries. The company emphasizes people-first culture and has earned 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 in German Time Zone (6-7 am to 2-3 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: modern solutions development with Fortune 500 enterprises and leading brands.
  • Flextime: options to work from home or the office to support work-life balance.

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