Job description
A great client of ours in the city center of Amsterdam has asked us to help them in their search for AWS Data Engineers with experience Hadoop to Cloud Data migration.
As a Data Engineer you are responsible for the modernization and scalability of accommodation reservation backend solutions within our client's AWS cloud platform. You will work independently and will also be responsible for making technical decisions within a team, in close cooperation with the team and other stakeholders.
Important aspects of the job include:
- Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.
- Solving issues with data and data pipelines, prioritizing based on customer impact.
- End-to-end ownership of data quality in our core datasets and data pipelines. - Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.
- Providing tools that enhance Data Quality company-wide.
- Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.
- Acting as an intermediary for problems, with both technical and non-technical audiences.
- Contributing to the growth of the organization hrough interviewing, on-boarding, or other team efforts
Experience with building scalable data pipelines in distributed environments with technologies such as Hadoop, Cassandra, Kafka, Spark, HBase, MySQL, etc. Knowledgeable about data modelling, data access, and data storage techniques. Understands and can develop streaming processing applications using technologies like Flink, Kafka-Streams, Spark-Streaming, etc.
Hands-on experience of developing in and contributing to open-source data technologies, such as Hadoop.
Demonstrable experience with SQL, HQL, CQL, etc.
- Experience of working on systems on a large scale.
- Good understanding of basic analytics and machine learning concepts.
- Preferably a university degree in Computer Science.
- Excellent communication, written and spoken English
Please reach out to us if you are interested and available to start soon.
As a Data Engineer you are responsible for the modernization and scalability of accommodation reservation backend solutions within our client's AWS cloud platform. You will work independently and will also be responsible for making technical decisions within a team, in close cooperation with the team and other stakeholders.
Important aspects of the job include:
- Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.
- Solving issues with data and data pipelines, prioritizing based on customer impact.
- End-to-end ownership of data quality in our core datasets and data pipelines. - Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.
- Providing tools that enhance Data Quality company-wide.
- Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.
- Acting as an intermediary for problems, with both technical and non-technical audiences.
- Contributing to the growth of the organization hrough interviewing, on-boarding, or other team efforts
Experience with building scalable data pipelines in distributed environments with technologies such as Hadoop, Cassandra, Kafka, Spark, HBase, MySQL, etc. Knowledgeable about data modelling, data access, and data storage techniques. Understands and can develop streaming processing applications using technologies like Flink, Kafka-Streams, Spark-Streaming, etc.
Hands-on experience of developing in and contributing to open-source data technologies, such as Hadoop.
Demonstrable experience with SQL, HQL, CQL, etc.
- Experience of working on systems on a large scale.
- Good understanding of basic analytics and machine learning concepts.
- Preferably a university degree in Computer Science.
- Excellent communication, written and spoken English
Please reach out to us if you are interested and available to start soon.