Senior Data Engineer
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S.) in Computer Science, Software Engineering, Information Technology, Computer Engineering, or a closely related field. -Full-time role ( 8 hours per day ) -Must be able to lead a team of 15 data engineers -Familiarity with time tracking software (Hubstaff)
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Experience:
minimum 3 years (mandatory) Preferred: 4–5+ years of relevant professional experience in database/data engineering.
- Specialities : Strong working knowledge of SQL. Working knowledge of Python, particularly for developing data-processing and troubleshooting/fixing scripts. Experience with data engineering, including data extraction, transformation, validation, cleaning, and database loading. Experience working with APIs and web-based data sources. Ability to independently troubleshoot data and database problems.
- Required Tools & Technologies 1. SQL — querying, joins, aggregation, optimization, data validation, etc. 2. Python — scripts for data processing, automation, troubleshooting, and fixing data issues. 3. Overpass Turbo / OpenStreetMap API — querying and extracting geographic/business data. 4. ChatGPT Pro — using AI for coding assistance, debugging, data analysis, documentation, and productivity. 5. Claude Pro — using AI for coding, debugging, data processing, and technical problem solving Additional
responsibilities:
Monitor and maintain company's databases and data pipelines. Troubleshoot data-quality issues. Create Python scripts to correct or transform datasets. Write and optimize SQL queries. Extract business/location data through APIs and other approved data sources. Assist with importing large CSV/data files into SQL databases. Validate, clean, deduplicate, and normalize business records. Work with the Data Engineer/Data Scientist team to resolve data problems. Document scripts, queries, procedures, and fixes.
• Supervise 5+ junior data personnel when assigned.
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