Big Data Engineer
1 tydzień temu
Responsibilities:
- Designing, building, and managing scalable big data architectures and solutions
- Developing and optimizing data pipelines for processing large-scale datasets
- Integrating and processing data from various sources to enable analytics and reporting
- Ensuring the data infrastructure is robust, reliable, and efficient
- Collaborating with data scientists, analysts, and other stakeholders to understand data requirements
- Implementing real-time data processing and batch processing systems
- Monitoring and troubleshooting big data systems to ensure high availability and performance
- Ensuring data security, integrity, and compliance with data governance policies
- Staying up to date with the latest trends and technologies in big data and cloud solutions
Requirements:
- 3+ years of experience in Big Data engineering or related roles
- Strong proficiency in big data technologies (e.g., Hadoop, Spark, Kafka, Hive, Flink)
- Hands-on experience with data processing frameworks (e.g., Apache Hadoop, Apache Spark, Apache Flink)
- Proficiency in programming languages such as Java, Scala, or Python
- Experience with cloud platforms (AWS, GCP, or Azure) and big data services (e.g., AWS EMR, Google BigQuery)
- Strong knowledge of data storage technologies (e.g., HDFS, NoSQL, relational databases)
- Familiarity with ETL tools and frameworks for data integration and transformation
- Solid understanding of data architecture and data warehousing principles
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus
- Strong problem-solving and troubleshooting skills
- Good communication skills and ability to work in a collaborative team environment
- Fluency in English (both written and spoken)
Offer:
- 100% remote work
- MultiSport Plus
- Group insurance
- Medicover Premium
- e-learning platform
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