Solution Architect
2 days ago
Description
Join our Team
About this opportunity:
At Ericsson, we're seeking a skilled and committed Solution Architect to join our esteemed team. As the Solution Architect, you'll be in charge of designing and formulating tailored technological results. Based on customer specifications and business demands, you'll analyze and devise viable technical solutions within your technical domain. This role requires a solution-oriented mindset, a keen eye for detail, and an innovative approach to tackling unique challenges.
Your Roles and Responsibilities (Data Engineer):
• Python Development: Write clean, efficient, and maintainable Python code to support data engineering tasks, including data collection, transformation, and integration with machine learning models.
• Data Pipeline Development: Design, develop, and maintain robust data pipelines that efficiently gather, process, and transform data from various sources into a format suitable for machine learning and data science tasks using ELK stack, Python and other leading technologies.
• Spark Knowledge: Apply basic Spark concepts for distributed data processing when necessary, optimizing data workflows for performance and scalability.
• ELK Integration: Utilize ElasticSearch, Logstash, and Kibana (ELK) for data management, data indexing, and real-time data visualization. Knowledge of OpenSearch and related stack would be beneficial.
• Grafana and Kibana: Create and manage dashboards and visualizations using Grafana and Kibana to provide real-time insights into data and system performance.
• Kubernetes Deployment: Deploy data engineering solutions and machine learning models to a Kubernetes-based environment, ensuring security, scalability, reliability, and high availability.
• Model Deployment and Monitoring: Deploy machine learning models and implement monitoring solutions to track model performance, drift, and health.
• Data Quality and Governance: Implement data quality checks and data governance practices to ensure data accuracy, consistency, and compliance with data privacy regulations.
• MLOps (Added Advantage): Contribute to the implementation of MLOps practices, including model deployment, monitoring, and automation of machine learning workflows.
• Documentation: Maintain clear and comprehensive documentation for data engineering processes, ELK configurations, machine learning models, visualizations, and deployments.
The skills you bring:
• 12- 16 yrs of Experience, BE or MS degree in Computer Science, Informatics, Information Systems with experience more than 5 years with at least 3 years of relevant experience.
• Proficiency in Python programming, with experience in Python libraries commonly used in data engineering and machine learning (e.g., pandas, numpy, scikit-learn).
• Hands-on experience with Kubernetes and containerization technologies (e.g., Docker).
• Familiarity with ElasticSearch, Logstash, and Kibana for log management and data visualization.
• Knowledge of visualization tools like Grafana and Kibana.
• Good knowledge on working with different Linux flavors (RHEL , Oracle Linux , CentOS).
• Strong problem-solving skills and the ability to work in a collaborative, cross-functional team.
• Excellent communication skills to effectively convey complex technical concepts.
• Eagerness to stay updated with the latest advancements in data engineering, machine learning, and MLOps.
Get Matched
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Job Insights
Based on previously hired candidates
Popular Skills of Previous Hires
Information Technology Business Requirements Software Engineering
Job titles of previous hires
Solution Architect
Integration Engineer
Senior Solution Architect
Technical Architect
Technical Lead
Previous hires also worked at
Zenseact
Telefonica Movistar
Spiideo
Linear
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