Data Engineer Lead
3 days ago
Job Title: Senior Data Engineer
About Alp Consulting Ltd.
We are a leading consulting firm specializing in data engineering and machine learning solutions. Our team is passionate about leveraging cutting-edge technologies to drive business growth and innovation.
Job Description:
We are seeking an experienced Senior Data Engineer to join our team. As a key member of our data engineering team, you will play a critical role in designing, developing, and maintaining scalable data pipelines using Python and Py-Spark. You will work closely with cross-functional teams to ensure seamless integration of data solutions and support the implementation of Microsoft Fabric.
Your Key Responsibilities:
- Data Pipeline Development: Design, develop, and maintain scalable data pipelines using Python and Py-Spark to extract, transform, and load data from various sources.
- SQL Query Optimization: Implement and optimize SQL queries for efficient data extraction and transformation.
- Azure Data Factory Integration: Utilize Azure Data Factory for orchestrating data workflows and ensuring smooth deployment and operation of data solutions.
- Collaboration and Communication: Collaborate with DevOps teams to ensure successful project execution and communicate effectively with stakeholders to resolve issues and address concerns.
Required Skills and Qualifications:
To succeed in this role, you must have:
- Proficiency in Python and Py-Spark;
- Strong knowledge of SQL and experience with data extraction and transformation;
- Familiarity with Azure Data Factory and GIT for version control;
- Understanding of DevOps practices and tools;
- Experience with machine learning frameworks and libraries;
- Excellent problem-solving skills and attention to detail;
- Strong communication and collaboration skills;
Education and Experience:
We require a Bachelor's or Master's Degree in Computer Science, Information Systems, or demonstrated equivalent education and relevant work experience. Additionally, you should have at least 10-13 years of total work experience, with a minimum of 9 years of IT-specific experience as a Business Intelligence Developer and 5 years of knowledge and experience working on enterprise applications.
Language and Work Environment:
You must be able to effectively communicate in English, both verbally and in writing, and be proficient in MS Office applications, such as Word, Excel, PowerPoint, etc. The work environment is primarily office-based, with moderate noise levels and occasional travel required.
Compensation and Benefits:
The estimated salary for this position is $120,000-$150,000 per year, depending on location and experience. We offer a comprehensive benefits package, including health insurance, retirement plans, and paid time off.
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