
Chief Architect
3 days ago
We are seeking a highly skilled Senior Data Engineer to join our team at a leading organization. The ideal candidate will have a strong background in big data technologies, including pySpark, Hadoop, and Hive.
- Develop scalable data pipelines to support increasing data volume and complexity.
- Collaborate with teams to improve data models and foster data-driven decision making.
- Perform data analysis and troubleshoot data-related issues.
- Work closely with frontend and backend engineers, product managers, and analysts.
Requirements:
- 4+ years of experience with big data technologies (pySpark, Hadoop, Hive).
- Strong analytical, problem-solving, and research skills.
- Excellent communication, presentation, and interpersonal skills.
- Experience with cloud platforms and job scheduler tools.
Mandatory Skills: Any Cloud, Python Programming, SQL, Pyspark
Roles & Responsibilities- Develop efficient ETL pipelines as per business requirements.
- Perform integration testing of different created pipeline in Cloud env.
- Provide estimates for development, testing & deployments on different env.
- Participate in code peer reviews.
- Develops and maintains scalable data pipelines.
- Collaborates with analytics and business teams to improve data models.
- Writes unit/integration tests and documents work.
- Performs data analysis required to troubleshoot data related issues.
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