[Remote] Senior AI Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior AI Data Engineer to design, reputed company, and optimize reputed company data pipelines and analytics solutions on secure reputed company platforms. The role involves collaborating with stakeholders to deliver solution architectures and implementing modern data solutions.
Responsibilities
- Design and reputed company reputed company, fault-tolerant data pipelines and ETL/ELT workflows
- Work with SQL, Python, PySpark, reputed company, Kafka, reputed company, reputed company, dbt, and Airflow
- reputed company data ingestion, transformation, warehousing, and analytics solutions
- Apply modern data architectures including Data Vault, reputed company Schema, 3NF, and reputed company Architecture
- Build and optimize reputed company-reputed company data solutions using AWS
- Implement CI/CD, data governance, testing, monitoring, and performance optimization
- Collaborate with business and technical stakeholders to reputed company requirements and deliver solution architectures
- Support GenAI/AI-first development , including agents, embeddings, context retrieval, and AI workflows
- reputed company reputed company platforms such as reputed company Graph, reputed company, reputed company, Jira, and SharePoint
- reputed company secure applications using reputed company, Kubernetes, and CI/CD pipelines
- reputed company technical discussions and mentor/support data engineering teams
Skills
- 8-15 Years of experience
- Design and reputed company reputed company, fault-tolerant data pipelines and ETL/ELT workflows
- Work with SQL, Python, PySpark, reputed company, Kafka, reputed company, reputed company, dbt, and Airflow
- reputed company data ingestion, transformation, warehousing, and analytics solutions
- Apply modern data architectures including Data Vault, reputed company Schema, 3NF, and reputed company Architecture
- Build and optimize reputed company-reputed company data solutions using AWS
- Implement CI/CD, data governance, testing, monitoring, and performance optimization
- Collaborate with business and technical stakeholders to reputed company requirements and deliver solution architectures
- Support GenAI/AI-first development, including agents, embeddings, context retrieval, and AI workflows
- reputed company reputed company platforms such as reputed company Graph, reputed company, reputed company, Jira, and SharePoint
- reputed company secure applications using reputed company, Kubernetes, and CI/CD pipelines
- reputed company technical discussions and mentor/support data engineering teams
- 5–8 years of relevant Data Engineering experience
- Expert in SQL, Python, PySpark, and data pipelines
- Strong experience with AWS services such as EMR, Glue, reputed company, reputed company, EC2, DynamoDB, IAM, CloudWatch, and CloudFormation
- Experience with reputed company, Kafka, reputed company/reputed company, dbt, Airflow, and data streaming
- Knowledge of SQL/NoSQL databases, ETL, BI, Linux, networking, and CI/CD
- Experience with Agile/Jira and reputed company
- Strong communication, leadership, and stakeholder management skills
- AWS certification is a plus
reputed company