Data Engineer
vor 3 Wochen
Digital Waffle is excited to be partnered with an innovative and forward-thinking consultancy in Austria, who are looking for a talented Data Engineer to join their growing data team.
ABOUT THE JOB
Location: Austria
Salary: Up to €85,000
Hybrid (2x a month)
You will be responsible for:
- Conception and realization of Big Data & AI solutions in a petabyte scale
- Deployment and operation of Big Data & AI solutions on cloud platforms like AWS, AZURE, VMWare and Kubernetes
- Implementation of data pipelines, ETL routes and migration of existing DWH/DL systems
- Advising teams, including C-level teams, on the use of data engineering and data analytics
- Ensure close collaboration with other evoila teams and understanding of their concepts and solutions
- Support in sales by building and maintaining customer relationships
- Ensuring a long-term and cooperative relationship with our customers
You must have:
- University degree in computer science, e-technology, physics or mathematics.
- Alternatively: completed training as an IT specialist (m/f/d) for system integration/application development and proven professional experience
- Knowledge in Big Data architectures: AWS, Azure or on on-premise Cloudera distributions.
- Experience using technologies such as: Python, Spark, Hadoop, Kafka, Airflow.
- Hands-on experience with Docker and CI&CD.
- Strong programming ability
- Analytical/conceptual skills
- Ability to work in a team, and customer focus
- Fluent German and good English
Desirable:
- Hands-on experience implementing Data Lake/Hadoop platforms
- Hands-on experience implementing and performance-tuning Hadoop/Spark implementations
- Proficient in database architecture and operations such as MongoDB, MySQL, and PostgreSQL
- Experience with one or more relevant tools (Sqoop, Nifi, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr)
- Experience with one or more SQL MPP technologies (Hive, Impala, Spark SQL, Presto, Trino)
- Experience in developing software code in one or more programming languages (Java, Python, Scala, etc.)
- Experience with AWS services such as Glue, EMR, Athena, Kinesis, S3, Sagemaker, Lambda functions
- Experience with Azure services
- Stakeholder management and customer-facing skills
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