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3 days ago
This is an exciting opportunity to work as a Data Engineering Specialist, designing and developing scalable enterprise data analytics solutions. The role involves collaborating with cross-functional teams to translate business needs into technical solutions.
Key Responsibilities- Design and develop robust, scalable, and high-quality data pipelines that support analytics and reporting needs.
- Integrate structured and unstructured data from various sources into data lakes and warehouses.
- Build and maintain scalable ETL/ELT pipelines for batch and streaming data using cloud platforms.
- Collaborate with data scientists, analysts, and platform engineers to enable analytics and ML use cases.
- 7+ years of experience in data engineering or design, designing, developing, and deploying scalable enterprise data analytics solutions.
- 5+ years of experience in ML Lifecycle using cloud services, building datasets, ML pipelines, experiments, logging, and monitoring.
- Experience in designing, developing & scaling complex data & feature pipelines feeding ML models and evaluating their performance.
- Strong experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
- Familiarity with security best practices in DevOps and ML Ops.
- Agile/Scrum operating experience using cloud-based tools.
This role offers the opportunity to work on cutting-edge projects, collaborate with experienced professionals, and contribute to the development of innovative data solutions.
Professional Skills- Strong analytical and problem-solving skills and passion for product development.
- Professional attitude and service orientation; team player.
- Ability to build a sense of trust and rapport to create a comfortable and effective workplace.
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