Overview
Job Summary: We are seeking a skilled and experienced Azure Data Engineer to join our dynamic team. The ideal candidate will have a strong background in Azure technologies and data engineering practices, with expertise in Azure Databricks, Azure Data Factory, Data Modeling, PySpark, and SQL. You will play a critical role in designing, developing, and maintaining scalable data solutions to meet business needs. Key Responsibilities: • Data Solution Design & Development • Develop and optimize scalable data pipelines using Azure Databricks and Azure Data Factory. • Design, implement, and maintain effective data models to support analytics and reporting needs. • Data Transformation & Integration • Utilize PySpark and SQL to transform and process large datasets. • Build efficient data integration workflows to connect disparate data sources into a centralized data ecosystem. • Performance Optimization • Optimize data processing pipelines for performance and scalability. • Ensure high availability and performance of data solutions in cloud environments. • Collaboration & Documentation • Work closely with stakeholders to understand data requirements and provide actionable insights. • Document data solutions, workflows, and best practices. • Quality Assurance • Implement robust data quality and validation checks in all data workflows. • Conduct regular reviews to ensure data integrity and accuracy. Required Skills & Qualifications: • Proficient in Azure Databricks and Azure Data Factory for building data solutions. • Strong knowledge of data modeling concepts and practices. • Hands-on experience with PySpark for data transformation and analysis. • Advanced SQL skills, including query optimization and complex data manipulation. • Experience working with large-scale datasets and distributed computing. • Knowledge of CI/CD processes and version control systems is a plus. • Excellent problem-solving skills and the ability to work in a collaborative team environment.
Job Types: Full-time, Permanent
Pay: Up to ₹1,500,000.00 per year
Benefits:
- Provident Fund
- Work from home
Schedule:
- Day shift
- Monday to Friday
Supplemental Pay:
- Joining bonus
- Overtime pay
Application Question(s):
- Immediate joiner or Notice Period
Experience:
- total work: 4 years (Preferred)
- Azure Data Engineer: 2 years (Preferred)
- Pyspark: 2 years (Preferred)
Work Location: In person