Middle Data Engineer for Ciklum Digital (offline)
🤖Technology Stack: Kafka, Spark, Flink, Airflow, Sql, Hive, Git, SBT, Kubernetes, Docker, Spring Boot, Alibaba Cloud, Amazon Web Services, Jupyter, Zeppelin, Cassandra, Akka
🤖Languages: Scala, Java, SQL
🤓Responsibilities
- Contributes design, code, configurations, and documentation for components that manage data ingestion, real time streaming, batch processing, data extraction, transformation, and loading across multiple data storages
- Owns one or more key components of the infrastructure and works to continually improve it, identifying gaps and improving the platform’s quality, robustness, maintainability, and speed
- Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability
- Performs development, QA, and dev-ops roles as needed to ensure total end to end responsibility of solutions
- Building infrastructure to support real time or offline data pipelines for processing terabytes of data
- Design and scale data ingestion systems with high availability and reliability
- Creating and managing data jobs with various data platforms
- Data enrichment and manipulation on streaming data
- Developing and designing R&D Projects
- Provide architectural support by building PoC & Prototypes
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Job unpublished on
12 March 2022
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