Principal Data Engineer

8 - 12 years

0 Lacs

Posted:21 hours ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a Cloud & Data Engineer with expertise in the Actuarial domain, you will play a crucial role in designing and managing robust data and cloud infrastructure to support advanced analytics and AI initiatives. Your focus will be on ensuring seamless data flow and integration across systems by collaborating closely with IT and infrastructure teams. Join a dynamic team of experts who are eager to share their knowledge and support you in reaching your full potential. Key Responsibilities: - Design, develop, and maintain cloud-based data infrastructure and pipelines for analytics workloads. - Develop scalable data pipelines for efficient data processing, including data ingestion, transformation, and integration from multiple sources. - Implement CI/CD pipelines for seamless integration and deployment of AI/ML models. - Ensure data availability, scalability, reliability, and performance across environments. - Collaborate with ML engineers, IT, and actuarial teams for deploying and monitoring AI models. - Implement API-based integrations and automation solutions to enhance data operations. - Drive adherence to data governance and security best practices. Required Skills & Experience: - Strong experience in cloud platforms, preferably Azure, AWS, or GCP. - Proficiency in data pipeline design (ETL/ELT), APIs, and integration frameworks. - Hands-on experience with data engineering tools like Databricks, Azure Data Factory, Snowflake, or equivalent. - Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes). - Knowledge of scripting languages (e.g., Python, Bash) and infrastructure as code (e.g., Terraform, ARM templates). - Understanding of DevOps practices and tools such as Jenkins, GitLab CI. - Familiarity with AI/ML model deployment pipelines. - Excellent problem-solving, collaboration, and communication skills for effective interaction with cross-functional teams. It is preferred to have exposure to actuarial, financial services, or insurance data environments. Your contribution will be vital in driving innovation and making a positive impact on individuals, families, and communities worldwide.,

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