
Data Engineer
3 semanas atrás
Join to apply for the Data Engineer (Senior) ID40199 role at AgileEngine.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and startups across 17+ industries, with a people-first culture and multiple Best Place to Work awards.
OverviewWe 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 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.
- 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 (6:00–7:00 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: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based compensation with budgets for education, fitness, and team activities.
- A selection of exciting projects: Modern solutions development with Fortune 500 enterprises and leading brands.
- Flextime: Flexible schedule including options to work from home or in the office for work-life balance.
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: IT Services and IT Consulting
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