4 дня назад
Middle Data Engineer (Databricks)
600 - 1 000$
Вакансия из Telegram канала - Мэтч & Сопровод
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Описание вакансии
#middle #dataengineer
Middle Data Engineer (Databricks)
We are looking for a Data Engineer with a strong data quality mindset and hands-on experience with Databricks to build and maintain automated data quality checks.
Company: Data Smart Solutions
Role: Middle Data Engineer
Salary: $600 – $1000 (Net)
Format: Remote
Core Requirements
• Strong data quality mindset – ability to analyze data deeply and understand how everything connects
• Hands-on experience with Databricks and SQL Server testing environments
• Experience with data validation tools like Collibra or Great Expectations
• Strong Python and SQL skills to build automated data quality checks
• Good knowledge of data profiling and anomaly detection to identify issues in datasets
• Ability to read other people’s code and trace data issues back to the source in pipelines
• Experience with test automation, documentation, and tracking data quality metrics
Nice to Have
• Experience with cloud data platforms like AWS or Azure
• Knowledge of machine learning models for anomaly detection
What we offer
• Fully remote work
• Real-world data engineering projects
• Growth opportunities
• Friendly team
Ready to apply? Fill out the form here:
For questions/inquiries:
👉
Middle Data Engineer (Databricks)
We are looking for a Data Engineer with a strong data quality mindset and hands-on experience with Databricks to build and maintain automated data quality checks.
Company: Data Smart Solutions
Role: Middle Data Engineer
Salary: $600 – $1000 (Net)
Format: Remote
Core Requirements
• Strong data quality mindset – ability to analyze data deeply and understand how everything connects
• Hands-on experience with Databricks and SQL Server testing environments
• Experience with data validation tools like Collibra or Great Expectations
• Strong Python and SQL skills to build automated data quality checks
• Good knowledge of data profiling and anomaly detection to identify issues in datasets
• Ability to read other people’s code and trace data issues back to the source in pipelines
• Experience with test automation, documentation, and tracking data quality metrics
Nice to Have
• Experience with cloud data platforms like AWS or Azure
• Knowledge of machine learning models for anomaly detection
What we offer
• Fully remote work
• Real-world data engineering projects
• Growth opportunities
• Friendly team
Ready to apply? Fill out the form here:
For questions/inquiries:
👉
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