Senior Data Architect
1 week ago
Job Overview:
Our team is seeking a skilled Python developer to join our ranks and help drive innovation in the field of large-scale data processing.
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.
\Build and maintain RESTful APIs using Flask to facilitate secure data exchange.
\Collaborate with Data Scientists, Analysts, and Engineering teams to support data-driven applications and reporting tools.
\Ensure high standards of data quality, reliability, and integrity throughout the pipeline.
\Monitor performance, debug issues, and tune queries for maximum efficiency.
\Document data flows, pipeline architecture, and automation logic clearly.
Requirements:
\5-16 years of Experience
\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.
\Strong command of Hive SQL and working with distributed data systems.
\Experience building APIs using Flask or similar Python frameworks.
\Understanding of data modeling, schema design, and workflow orchestration.
\Strong debugging, analytical, and communication skills.
What we offer:
\Opportunity to work on large-scale, high-availability systems.
\Collaborative environment with experienced professionals.
\Professional growth and development opportunities.
How to apply:
\If you are a motivated and skilled individual who is passionate about data processing and analysis, please submit your application.
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