
Data Engineer
3 weeks ago
Key Responsibilities :
- Design, develop, and maintain high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.
- Build scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.
- Implement and manage Infrastructure as Code (IaC) using Terraform to provision and
manage AWS environments.
- Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment workflows and ensure reliable production delivery.
- Optimize data storage and retrieval strategies for large-scale structured and unstructured datasets.
- Develop data transformation logic and integrate data from various internal and external sources into data lakes and warehouses.
- Monitor, troubleshoot, and enhance performance of data systems in a cloud-native, fast-evolving production setup.
- Ensure adherence to data governance, privacy, and security standards across all data handling activities.
- Document data engineering solutions and workflows to facilitate cross-functional understanding and ongoing maintenance.
Required Skills and Qualifications :
- Extensive experience in building data pipelines and streaming applications using Apache Kafka and Apache Flink.
- Strong experience in ETL development, data modeling, and managing data in large-scale environments.
- Proficient in AWS services including SageMaker, S3, Glue, Lambda, and Hands-on expertise with MLOps best practices, including model versioning, monitoring, and CI/CD for ML pipelines.
- Proficiency in Python and SQL; experience with Java is a plus for streaming jobs.
- Deep understanding of cloud infrastructure automation using Terraform or similar IaC tools.
- Excellent problem-solving skills with the ability to troubleshoot data processing and
deployment issues.
- Experience in fast-paced, agile development environments with frequent delivery cycles.
- Strong communication and collaboration skills to work effectively across cross-functional teams.
(ref:hirist.tech)-
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