
Chief Data Architect
2 days ago
Job Title: Senior Data Engineer
We are seeking an experienced professional to design, develop, and maintain large-scale data pipelines using big data technologies. The successful candidate will be responsible for creating efficient ETL pipelines utilizing big data technologies such as pySpark, Hadoop, and Hive.
Key Responsibilities:- Data Pipeline Design and Development: Design and develop scalable data pipelines to support increasing data volume and complexity.
- Integration Testing: Perform integration testing of different created pipelines in cloud environment.
- Project Planning and Estimation: Provide estimates for development, testing & deployments on different environments.
- Code Review and Compliance: Participate in code peer reviews to ensure compliance with best practices.
- Data Analysis and Troubleshooting: Perform data analysis required to troubleshoot data-related issues and assist in resolution.
- Big Data Technologies Expertise: 4 years of experience with big data technologies - pySpark, Hadoop, and Hive.
- Programming Skills: Good hands-on experience with Python and Bash Scripts.
- Analytical and Problem-Solving Skills: Strong analytical, problem-solving, data analysis and research skills.
- Communication and Collaboration: Excellent communication, presentation and interpersonal skills.
- Cloud Platform Experience: Hands-on experience with cloud platform provided big data technologies.
- Orchestration and Scheduling: Orchestration with Airflow and any job scheduler experience.
About Us: We are a leading technology company committed to delivering high-quality products and services that meet the needs of our customers.
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