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KyndrylELK Data Engineer
Data Engineer at Kyndryl transforming raw data into actionable insights using ELK Stack. Responsible for developing, implementing, and maintaining data pipelines and processing workflows.
About the role
- Design, develop, and maintain robust data pipelines to support data ingestion, transformation, and storage to support Advanced Process Innovation program
- Design and optimize data architecture (and potentially storage solutions) for efficient access and processing of large datasets from multiple data sources
- Collaborate with data scientists to understand model requirements and ensure the availability of clean, structured data for analysis
- Collaborate with IT department to design data governance and documentation protocol suited for Advanced Process Innovation program implementation
- Implement data quality checks and monitoring processes to ensure the integrity and reliability of data
- Support the deployment of AI/ML models by integrating them into production systems and workflows
- Work with stakeholders to identify data needs and provide insights to enhance decision-making processes
- Stay updated on industry trends and best practices in data engineering, AI, and machine learning
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
- Minimum of 5 years of experience in Data Engineering or in a similar role
- Experience within chemical or manufacturing industry is preferred
- Strong knowledge of RESTful API design
- Proficiency in programming languages such as Python or Java
- Experience with collaborative tools like Azure DevOps
- Experience with data visualization tools (i.e., Tableau, PowerBI)
- Experience with data processing frameworks and ETL tools (i.e., Stitch, Alteryx, Dataiku, etc)
- Strong knowledge of SQL and database management systems (e.g., PostgreSQL, MySQL)
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing solutions (e.g. Databricks)
- Understanding of machine learning concepts and experience with ML frameworks (e.g., TensorFlow, PyTorch) is a plus
- Familiarity with engineering/process control related software (ASPEN, PACE, etc) is a plus
- Excellent communication skills, intercultural competence and team spirit
- Ability to present and suggest sound data-centric recommendations based on analytical thinking
Benefits
- performance-based remuneration
- occupational health benefits
- hybrid and flexible working environments with #SmartWork
- high-quality development programs
- attractive career paths
Job title
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Not specified
Degree requirement
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