Azure Data Factory
6 months ago
**Job Title: Azure Data Engineer**
- **SQL**: Proficient in writing and optimizing SQL queries for data retrieval, manipulation, and analysis in Azure environments.
- **Azure Data Factory (ADF)**: Design, develop, and implement data pipelines using Azure Data Factory to orchestrate data workflows and automate data integration processes.
- **Azure Databricks**: Utilize Azure Databricks to build scalable and high-performance data processing solutions, leveraging PySpark for data transformation and analysis.
- **PySpark**: Experience with PySpark for data manipulation, data cleansing, and advanced analytics tasks within Azure Databricks environment.
**Responsibilities**:
- Design, develop, and implement data solutions on the Azure platform, leveraging Azure SQL Database, Azure Data Factory, Azure Databricks, and other Azure services.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Develop and optimize SQL queries and scripts to extract, transform, and load data from various sources into Azure Data Lake Storage, Azure SQL Database, and other data repositories.
- Design and implement scalable and efficient data pipelines using Azure Data Factory to orchestrate data movement and transformation workflows.
- Build and maintain data processing jobs using PySpark within Azure Databricks environment for data transformation, cleansing, and analysis tasks.
- Perform data modeling and schema design to support analytical reporting and business intelligence needs.
- Ensure data quality and integrity by implementing data validation and cleansing techniques throughout the data pipeline.
- Monitor and optimize data pipelines for performance, reliability, and cost efficiency in Azure environment.
- Collaborate with data scientists and analysts to support advanced analytics and machine learning initiatives.
**Required Skills and Qualifications**:
- Bachelor's degree in Computer Science, Engineering, or related field.
- Proven experience as a data engineer with expertise in SQL, Azure Data Factory, Azure Databricks, and PySpark.
- Strong proficiency in writing and optimizing SQL queries.
- Hands-on experience designing and implementing data pipelines using Azure Data Factory.
- In-depth knowledge of Azure Databricks and PySpark for big data processing and analytics.
- Experience with data modeling, schema design, and data warehouse concepts.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
- Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect are a plus.
**Job Types**: Full-time, Permanent
**Salary**: ₹500,000.00 - ₹900,000.00 per year
**Benefits**:
- Health insurance
Schedule:
- Day shift
**Experience**:
- total work: 7 years (preferred)
Work Location: In person
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