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کد آگهی: KP5478517073
استخدام Senior Data Engineer
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دیجی‌پی | Digipay
در تهران
اطلاعات شغل:
نوع همکاری: تمام‌وقت
مدرک تحصیلی مورد نیاز: کارشناسی
مهارت‌های مورد نیاز:
Python
MySQL
Databases
پرداخت‌ها: توافقی
متن کامل آگهی:
Job brief
We’re seeking a Senior Data Engineer to enhance our Data Science Team, focusing on implementing and managing data workflows that support machine learning models and large-scale analytics. This role involves designing ETL processes, ensuring data quality, and deploying ML models to production.
The ideal candidate will have a strong computer science background, advanced Python knowledge, and experience with SQL/NoSQL databases, and Docker/Kubernetes.
You’ll work closely with our data science, business and product teams to drive insights and innovations.
We’re seeking a Senior Data Engineer to enhance our Data Science Team, focusing on implementing and managing data workflows that support machine learning models and large-scale analytics. This role involves designing ETL processes, ensuring data quality, and deploying ML models to production.
The ideal candidate will have a strong computer science background, advanced Python knowledge, and experience with SQL/NoSQL databases, and Docker/Kubernetes.
You’ll work closely with our data science, business and product teams to drive insights and innovations.
Responsibilities
- Design and implement ETL processes for data transformation and preparation,
- Deploy machine learning models to production environments,
- Manage data pipelines for analytics and operational use,
- Ensure data accuracy and integrity across multiple sources and systems,
- Collaborate with data scientists to support ML algorithms and analytics.
Requirements and skills
- 4+ years of experience in data engineering within a production environment,
- Design and work with big data frameworks (PySpark, Airflow, kafka),
- Design, build and maintain ETL pipelines,
- Writing effective and scalable Python codes,
- Produce clean, consistent, logical code based on designs; submit to GitLab repositoryGenerating infrastructure that allows big data to be accessed and analyzed,
- Refactoring existing frameworks, functions and paradigms to optimize their functioning,
- Ensuring data quality,
- Create and maintain various database systems (MySQL, Oracle, MS SQL Server, Clickhouse),
- Experience with Oracle ODI,
- Provide knowledge transfer to team members and support staff through application demos, walkthroughs, and documentation,
- Experience with ETL process and pipelines,
- Strong proficiency in SQL and experience with relational databases and NoSQL databases like MongoDB,
- Confident with version control systems (GitHub, GitLab, etc.),
- Experience with pandas, numpy, sklearn or other data science frameworks,
- Advanced knowledge of application, data, and infrastructure architecture disciplines,
- Knowledge of data warehousing concepts and experience with data modeling and schema design,
- Problem Solving and communication skills,
- Detail Oriented and decision making.
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پنج‌شنبه 7 تیر 1403، ساعت 11:11