Azure Data Factory- Indore
2 days ago
**Azure**Data Factory**
**Location: - Indore**
**Job type: Full time**
**Exp: 4-12 years**
**Key Responsibilities**:
- Design and maintain scalable data pipelines using Azure Data Factory (ADF) and Databricks.
- Use PySpark for efficient data processing of large volumes.
- Optimize SQL queries and scripts for ETL processes.
- Manage and integrate data from various sources, including Teradata, ensuring quality and consistency.
- Monitor and troubleshoot data pipelines for reliability.
- Implement best practices for data governance, security, and compliance.
- Stay updated with industry trends and technologies to enhance data engineering practices.
**Job Summary**
**Responsibilities**
- Develop and maintain data pipelines using Azure Data Factory to ensure seamless data flow.
- Oversee the integration of various data sources into Snowflake to create a unified data environment.
- Provide expertise in Python to automate data processing tasks and enhance efficiency.
- Ensure data integrity and accuracy by implementing robust validation and error-handling mechanisms.
- Optimize performance of data pipelines and queries to meet business requirements.
- Collaborate with data analysts and business stakeholders to understand data needs and deliver solutions.
- Monitor and troubleshoot data pipeline issues to minimize downtime and ensure reliability.
- Implement best practices for data security and compliance with industry standards.
- Lead efforts to improve data quality and governance across the organization.
- Conduct code reviews and provide feedback to junior developers to maintain high coding standards.
- Stay updated with the latest industry trends and technologies to continuously improve our data infrastructure.
- Document processes data flows and technical specifications for future reference and training purposes.
- Participate in agile development processes including sprint planning stand-ups and retrospectives.
**Qualifications**
- Possess strong experience in Azure Data Factory for developing and managing data pipelines.
- Demonstrate proficiency in Python for automating data processing tasks.
- Have extensive knowledge of Snowflake SQL for data integration and querying.
- Exhibit excellent problem-solving skills and attention to detail.
- Show ability to collaborate effectively with cross-functional teams.
- Display strong communication skills to articulate technical concepts to non-technical stakeholders.
- Have a proactive approach to learning and implementing new technologies.
- Show commitment to maintaining data security and compliance standards.
- Demonstrate experience in agile development methodologies.
**Certifications Required**
Azure Data Engineer Associate Snowflake SnowPro Core Certification
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