Big Data Engineer

What will you do, what are your responsibilities:

• Rollout Global Data Platform to our customers and support the adaption of the technical services,
• Design the solution of the complete use-case pipelines, from data ingestion to data processing, software deployment and feedback loop,
• Understand and explain advantages and disadvantages of the proposed solutions to internal and external stakeholders,
• Build and maintain data driven applications on top of the Global Data Platform,
• Contribute to improve the Platform stack and define the final production environment,
• Keep up with trends and evolving technology,
• Write technical documentation and blog posts.

What do we expect:

Technical skills/knowledge:

• Experience of running big data workloads in production at scale
• Data Engineering Pattern (e.g. Ingestion, Transformation, Storage, Consumption, etc.)
• Event-based systems, knowledge on Kafka confluent stack
• Databases (e.g. PostgreSQL, Neo4J, Stardog)
• Cloud Storage (e.g. Azure Datalake or AWS S3)
• Distributed systems (e.g. Spark)
• Knowledge Graph, e.g. Stardog

Software Development skills:

• Programming language (one of: Angular, Coljure, Python, Scala, Elm),
• Software engineering (micro services, design patterns, version control, automated testing, concurrent programming etc.),
• Continuous integration, deployment, and delivery.

General IT Skills and experience:

• Linux
• Containerization / Container Orchestration (Docker & Kubernetes)
• General understanding of Infrastructure, Orchestration and IT Security Principles (especially on an enterprise level)

Other Skills:

• Bachelor (BSc), Master (MSc) or equivalent experience in a technical field,
• Willingness to learn new technologies and tools,
• Team player open to work in an agile environment,
• Fluent English (written and spoken),
• Communication skills to be able to talk to people on all levels across the organization,
• DevOps mindset (you build it, you run it; taking responsibility for your work).

What can you expect:

• Training and development,
• Personal and professional growth, knowledge sharing,
• Well developed on-boarding system, support, independency,
• Remote work from home office,
• Challenging, inspiring and flexible work with highly reputable clients,
• Diverse, global team of friendly BI professionals and cooperative atmosphere,
• Quite challenging environment if you are a keen sportsman :-)

http://www.lmcg2.com/pd/1554988180?rps=183&source=10&exportID=0