Junior Engineer

Responsibilities

RESPONSIBILITIES

Data Engineer (Elasticsearch Specialist)

Key Responsibilities:

• Data Ingestion & Pipelines: Design and implement robust ETL/ELT pipelines to ingest structured, semi-structured, and unstructured data into Elasticsearch.
• Elasticsearch: Manage and optimize Elasticsearch clusters for scalability, availability, and performance. Configure index settings, mappings, analyzers, and sharding strategies to improve query efficiency.
• Data Modeling & Indexing: Develop efficient index designs to support various use cases (search, analytics, monitoring). Ensure proper use of aggregations, filters, and full-text search for optimal performance.
• Proactive Monitoring: design, implement, and manage comprehensive monitoring and alerting systems for our platforms, with a specific focus on Elastic clusters. This includes defining key metrics, thresholds, and escalation procedures to proactively identify and address potential issues
• Health Check Management: develop and maintain a suite of automated health checks for critical endpoints, APIs, infrastructure components, and network paths, ensuring rapid detection of anomalies & service degradations
• Collaboration: work closely with development teams to ensure the reliability and scalability of applications that interact with Elastic, providing guidance on best practices and performance optimization
  

Qualifications

Qualifications:

• Proven experience managing & operating Elastic Search clusters in a production environment, demonstrating a deep understanding of its architecture, performance tuning, and best practices
• Strong scripting or programming skills (e.g., Python, Bash, Go) for automating tasks, developing health checks, and integrating monitoring tools
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and familiarity with cloud-native monitoring and logging services
• Experience working with a PLM platform, such as Siemen's Team Center and/or Dassault Systems 3DX
• Excellent problem-solving skills, a proactive mindset, and the ability to remain calm and effective under pressure
• Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical teams
  

Requirements:

• 3+ years of experience In Data Engineering and analytics for DevOps, or similar role with a strong focus on monitoring, observability, and incident management
• 2+ years of hands-on experience managing & scaling Elastic Search in production environments. You must have prior experience with Elastic.
• Experience with other SRE tools / monitoring tools like Prometheus, Grafana, ELK stack, Dynatrace or similar
• Experience with IT applications with manufacturing - Good to have
• Experience working within an Agile/DevOps environment is a plus