Data Engineer
3 weeks ago
Key Responsibilities
- Design, develop, and maintain ETL jobs to ingest data into Data Lake and load data to datamarts.
- Extract data to integrate with various business applications.
- Parse unstructured and semi-structured data, including XML.
- Design and develop efficient mapping and workflows to load data to Data Marts.
- Map XML DTD schema in Python to create customized table definitions.
- Write efficient queries and reports in Hive or Impala to extract data on an ad-hoc basis for data analysis.
- Identify performance bottlenecks in ETL Jobs and tune their performance by enhancing or redesigning them.
- Responsible for performance tuning of ETL mappings and queries.
- Import tables and necessary lookup tables to facilitate the ETL process, required to process daily XML files, as well as large historical XML data files.
About the Role
This is a critical position that requires a strong understanding of ETL processes, data integration, and data engineering principles. The ideal candidate will have experience with Python, ETL tools, and data warehousing technologies.
Requirements
- Strong understanding of ETL processes and data integration principles.
- Experience with Python, ETL tools, and data warehousing technologies.
- Ability to design, develop, and maintain ETL jobs and data pipelines.
- Strong problem-solving skills and attention to detail.
- Ability to work in a fast-paced environment and meet deadlines.
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