Data Engineering Expert with Azure Specialization
19 hours ago
We are seeking a skilled Data Engineer to join our team at Tech Mahindra, where you will play a crucial role in designing and implementing data engineering solutions using Azure.
About the RoleThis is an excellent opportunity for someone with 5-7 years of experience in data engineering principles and practices. You should have expertise in Azure Data Factory and related tools, as well as proficiency in data processing, analysis, and visualization.
You will work closely with our team to develop scalable and efficient data pipelines, ensuring high-quality data delivery and strong data governance. Your ability to work with SQL and other relevant scripting languages will be essential in this role.
Key Responsibilities- Design and implement data engineering solutions using Azure Data Factory and related tools.
- Develop scalable and efficient data pipelines to ensure high-quality data delivery.
- Work closely with the team to design and implement data quality and verification methods.
- Maintain and improve existing data engineering infrastructure.
- 5-7 years of experience in data engineering principles and practices.
- Expertise in Azure Data Factory and related tools.
- Proficiency in data processing, analysis, and visualization.
- Ability to work with SQL and other relevant scripting languages.
- Familiarity with data sharing mechanisms like Cosmos DB, Data Factory, and Power BI.
As a Data Engineer at Tech Mahindra, you can expect a competitive salary of around $120,000 per annum, depending on your location and experience. Our comprehensive benefits package includes health insurance, retirement planning, and paid time off. You will also have opportunities for career growth and professional development.
We are looking for someone who is passionate about data engineering and has a strong desire to learn and grow with our company. If you are a motivated and talented individual with a background in data engineering, we encourage you to apply for this exciting opportunity.
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