
Data Engineer
Há 2 dias
Overview
Join to apply for the Data Engineer (Senior) ID40199 role at AgileEngine .
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.
- 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.
- 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.
- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based compensation with budgets for education, fitness, and team activities.
- A selection of exciting projects: Work on modern solutions development for Fortune 500 enterprises and leading brands.
- Flextime: Flexible schedule with options for remote work and office as preferred.
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Industries: IT Services and IT Consulting
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