
Data Engineer for Cloud-based Data Solutions
2 days ago
Job Summary:
Azure Databricks Developer needed to design, develop, and implement scalable cloud-based data solutions using Azure services.
About the Role:
We are seeking an experienced Data Engineer with a strong background in Azure Databricks and PySpark to join our team. As a Data Engineer, you will be responsible for developing and maintaining large-scale data pipelines, ensuring data quality, and providing data insights to support business decisions.
Key Responsibilities:
- Design, develop, and deploy data engineering solutions on Azure Databricks
- Develop and maintain large-scale data pipelines using PySpark
- Analyze and optimize data processing performance
- Ensure data quality, integrity, and security
Requirements:
- 3-12 years of experience in data engineering with a focus on Azure Databricks
- Strong knowledge of PySpark, Apache Spark, and data processing frameworks
- Experience with relational databases, data access methods, and SQL
- Knowledge of Azure architecture and design principles
- Excellent problem-solving skills and ability to work under pressure
Benefits:
This is a fantastic opportunity to join a dynamic team and contribute to the growth and success of the organization. As a valued member of our team, you will have access to:
- Competitive salary and benefits package
- Ongoing training and professional development opportunities
- Collaborative and supportive work environment
Disclaimer:
The information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer committed to diversity in the workplace.
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