Hlavní informace

Popis úkolů a požadavky

For our costumer, we are looking for an Engineer/Developer (m/w/d) Data Platform.

Start: first of June 2024
Fulltime

Profile Requirements
The ideal candidate must be at a middle/senior level combining a strong technical background in data
engineering with expertise in implementing data architectures, having collaboration skills, and an innovative
mindset to contribute effectively to the organization's data strategy.
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- 5+ years of general IT experience
- 3+ years of Big Data experience
- Proven experience as a Data Engineer with a focus on designing and implementing scalable data
architectures.
- Extensive experience in developing and maintaining databases, data lakes, and data warehouses.
- Hands-on experience with ETL processes and data integration from various sources.
- Familiarity with modern data technologies and cloud services.
- Proficient in designing and implementing data models to meet business requirements.
- Experience with Data Mesh
- A keen interest in staying updated on emerging technologies in the data engineering and Data Mesh
space.
- Ability to evaluate and recommend the adoption of new tools and technologies.
- Innovative mindset to propose solutions enhancing the organization's data architecture

Must-have competencies / skills:
Technical Skills:
- Proficiency in data processing languages such as SQL, Java, Python or Scala
- Knowledge and experience with at least some of the (Big) Data technologies/frameworks:
o Workflow orchestration (AirFlow/Oozie etc.)
o Data integration/Ingestion (Flume etc) .
o Messaging/Data Streaming (Kafka/RabbitMQ etc.)
o Data Processing (Spark, Flink etc.)
o RDBMS (PostgreSQL/MySql etc.)
o NoSQL Storages (MongoDB, Cassandra, Neo4j etc.)
o Timeseries (InfluxDB, OpenTSDB, TimescaleDB, Prometheus etc.)
And/Or with their Cloud provided counterparts, i.e., Cloud Data/Analytics services (GCP,
Azure, AWS)
- Familiarity with reference Big Data architectures (Warehouse, Data Lake, Data Lakehouse) and their
implementation.
- GitLabBasic DevOps skills
- Agile knowledge

Language skills:
Proficiency in English

Kategorie