Key responsibilities:

• Meeting with customers to determine their data architecture requirements and providing customised solutions based on AWS/Azure.
  
• Design and implement robust and secure cloud-based data intensive architectures and data models to extract, transform, load and process data; and resolve technical problems as they arise.
  
• Continuously research current and emerging technologies and propose changes as required.
  
• Assessing the business impact that certain technical choices have.
  
• Educate team and customers in data architecture and security through training workshops and individual support.
  
• Develop relationship and coordinate with partners for on-premise data acquisition and ingestion setup.
  
• Work with an agile team to develop and deliver the architecture
  
• Documentation of solutions (e.g., data models, configurations, and setup).

Key Skills:

• 3+ year experience in design and implementation of big data cloud architectures.
  
• 3+ year experience in data modelling in both, SQL and NoSQL environments.
  
• In-depth knowledge to develop Extract Transform Load (ETL)and stream processing and data structures using efficient programming standards and practices.
  
• Basic knowledge of Hadoop, HDFS, PySpark, Hive, Kafka, shell scripting etc.
  
• Demonstrate ability for technically leading the software projects through all stages of the life cycle, including responsibility for requirements capture, design, development and acceptance testing.
  
• Proven ability in analysis for troubleshooting problems and problem-solving skills

Our team culture:

• Working for one of the technology leaders in Europe in one of the most innovative and promising areas Industry sectors.
  
• Short decision-making paths and the opportunity to contribute and implement your own ideas.
  
• Positive, motivated and energetic working atmosphere in a team with experienced Digitization experts and long-term entrepreneurs.
  
• Steep learning curve and opportunities for personal and professional training and further education.

Our client envision to create AI for manufacturing and focus on the implementation of Industry 4.0 in the industrial equipment sector which helps manufacturers in analyzing the machine conditions in advance to avoid unplanned downtime & wastage.