
Data Engineer
2 days ago
- Proven experience as a Data Engineer or in a similar data-focused role.
- Strong Python programming skills with hands-on experience in data engineering.
- Solid knowledge of AWS cloud services (S3, Glue, Redshift, Lambda, etc.).
- Expertise in Apache Airflow or similar orchestration tools.
- Experience working with Spark and Glue for data processing.
- Familiarity with CI/CD, automation frameworks, and version control (Git).
- Strong problem-solving skills and the ability to work in cross-functional teams.
- Excellent communication skills in English.
- Experience with Kubernetes, Docker, or other container orchestration tools.
- Knowledge of data governance and security best practices.
- Exposure to streaming platforms (e.g., Kafka).
We are seeking a skilled Data Engineer to join our team and help design, build, and optimize scalable data pipelines and platforms. The ideal candidate will have strong Python coding skills, experience in AWS cloud services, and expertise in orchestration tools like Apache Airflow. You will be responsible for integrating automation solutions, optimizing data workflows, and ensuring smooth operations across data engineering processes.
Tech Stack:- Programming: Python
- Cloud: AWS (e.g., S3, Glue, Lambda, EC2, Redshift)
- Data Orchestration: Apache Airflow
- Data Processing: Spark, Glue
- Databases: Relational & NoSQL databases
- Other: CI/CD pipelines, automation tools, Git
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