Large Data Engineer
23 hours ago
About this Role :
We are seeking a seasoned data expert to design, develop, and optimize large-scale data processing systems. This individual will work with high-volume, high-velocity datasets ensuring the platforms scalability, performance, and reliability.
This role requires expertise in big data frameworks, distributed systems, and data engineering best practices. Key responsibilities include:
- Designing and implementing big data solutions for large-scale data processing and analytics
- Developing and maintaining data pipelines using big data frameworks such as Hadoop, Spark, Kafka, or Flink
- Collaborating with data scientists, analysts, and product teams to deliver reliable and efficient data infrastructure
- Optimizing data storage, processing, and retrieval for high performance
- Evaluating data quality, governance, and security standards
- Troubleshooting and resolving issues related to big data processing and platform infrastructure
Requirements:
To succeed in this position, you will need:
- At least 58 years of experience in software engineering, with at least 3 years in big data engineering
- Proficiency in big data technologies: Hadoop, Spark, Hive, HBase, Kafka, Flink
- Strong skills in programming languages: Java, Scala, or Python
- Experience with distributed systems, parallel computing, and performance optimization
- Familiarity with cloud-based big data platforms (AWS EMR, Azure HDInsight, GCP Dataproc) is a plus
- A strong understanding of data modeling, ETL, and data warehousing concepts
- Excellent problem-solving skills and ability to work in agile environments
Bonus points for:
- Experience with real-time streaming and event-driven architectures
- Exposure to containerization and orchestration tools like Docker, Kubernetes
- Knowledge of CI/CD pipelines for data engineering workflows
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