DESCRIPTION
Our client is an EU-based retailer specializing in the distribution of parts and accessories for material handling, industrial, construction, and agricultural equipment worldwide, is currently undergoing a digital transformation. As part of this transformation, the client is keen to integrate IT capabilities that can effectively bolster its existing analytical functions and cater to emerging use cases, all while collaborating closely with its technology teams.
Responsibilities
- Develop and maintain data platforms
- Integrate different data sources into data platforms
- Collaborate with the team to optimize and enhance data platforms' performance
- Build and maintain scalable and robust data pipelines
- Write and maintain code, primarily using Java 8 and Kafka Streaming and Connect
- Provide recommendations on best practices for data engineering projects
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- 3+ years of hands-on experience in Data Software Engineering
- Expertise in Apache Kafka, Apache Spark, Fivetran, Google Cloud BigQuery, Google Cloud Dataflow, and Kafka Streaming and Connect
- Experience working with REST API, Oracle Cloud and Salesforce Data Integrations, Java or Scala, and Spark Streaming
- Good communication skills and willingness to communicate
- Upper-Intermediate level of English, both spoken and written (B2+)
- Competitive compensation depending on experience and skills
- Individual career path
- Unlimited access to LinkedIn learning solutions
- Sick leave and regular vacation
- English classes with certified English teachers
- Flexible work hours