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Data Engineer - Python Programming

hirezy.ai
Multiple Locations
5 - 10 Years

Posted on: 22/08/2025

Job Description

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 CloudFormation/Terraform.

- 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.


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