onsite
Lead Data Engineer - Openkyber
Data Engineer
Lead Data Engineer responsible for designing and delivering advanced data platform solutions, leveraging machine learning, deep learning, and big data technologies while collaborating with senior executives and guiding engineering teams.
About the role
Key Responsibilities
- Architect and implement scalable data platforms that support machine learning, deep learning, and analytics workloads.
- Lead a team of data engineers through the full delivery lifecycle, from requirements gathering to production deployment.
- Collaborate with senior executives and business stakeholders to translate strategic goals into technical solutions.
- Design and optimize data pipelines using big data technologies such as Spark, Hadoop, and cloud services.
- Integrate natural language processing and advanced analytics models into the data platform.
- Establish best practices for data governance, security, and performance monitoring.
Requirements
- 8–10 years of hands‑on experience designing and building data platform architectures.
- Strong expertise in machine learning, deep learning, and natural language processing workflows.
- Proficiency with big data technologies (e.g., Spark, Hadoop, Kafka) and cloud platforms (AWS, Azure, or GCP).
- Excellent communication skills with a proven ability to influence senior leadership.
- Bachelor’s or higher degree in Computer Science, Engineering, or a related field.
Skills
machine learningdeep learningnatural language processingpython