
Chief Data Workflow Architect
3 days ago
The role of a Python developer involves designing, developing, and automating scalable data workflows using Python and Pandas. This includes implementing and managing data ingestion and transformation processes using Hive SQL for data warehousing. Additionally, the position requires configuring, monitoring, and optimizing Elasticsearch clusters for indexing, searching, and analytics performance.
To excel in this position, one should possess strong knowledge of ETL frameworks and pipeline automation strategies. Experience with Elasticsearch: indexing, querying, and optimizing for performance is also essential. Furthermore, proficiency in Python, hands-on experience using Pandas for large dataset processing, and solid debugging, analytical, and communication skills are necessary. The successful candidate will collaborate with Data Scientists, Analysts, and Engineering teams to support data-driven applications and reporting tools.
Key Responsibilities:
- Design, develop, and automate scalable ETL workflows using Python and Pandas.
- Implement and manage data ingestion and transformation processes using Hive SQL for data warehousing.
- Configure, monitor, and optimize Elasticsearch clusters for indexing, searching, and analytics performance.
Requirements:
- 5-16 years of experience in software development.
- Proficient in Python, with hands-on experience using Pandas for large dataset processing.
- Solid knowledge of ETL frameworks and pipeline automation strategies.
- Experience with Elasticsearch: indexing, querying, and optimizing for performance.
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Chief Data Architect
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Chief Data Architect
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