We are seeking an experienced Azure Data Factory Engineer to design, develop, and manage data pipelines using Azure Data Factory. The ideal candidate will possess hands-on expertise in ADF components and activities, and have practical knowledge of incremental data loading, file management, API integration, and cloud storage solutions. This role involves automating data workflows, optimizing performance, and ensuring the seamless flow of data within our cloud environment.
Key Responsibilities:
- Design and Develop Data Pipelines: Build and maintain scalable data pipelines using Azure Data Factory, ensuring efficient and reliable data movement and transformation.
- Incremental Data Loads: Implement and manage incremental data loading processes to ensure that only updated or new data is processed, optimizing data pipeline performance and reducing resource consumption.
- File Management: Handle data ingestion and management from various file sources, including CSV, JSON, and Parquet formats, ensuring data accuracy and consistency.
- API Integration: Develop and configure data pipelines to interact with RESTful APIs for data extraction and integration, handling authentication and data retrieval processes effectively.
- Cloud Storage Management: Work with Azure Blob Storage and Azure Data Lake Storage to manage and utilize cloud storage solutions, ensuring data is securely stored and easily accessible.
- ADF Automation: Leverage Azure Data Factory’s automation capabilities to schedule and monitor data workflows, ensuring timely execution and error-free operations.
- Performance Optimization: Continuously monitor and optimize data pipeline performance, troubleshoot issues, and implement best practices to enhance efficiency.
- Collaboration: Work closely with data engineers, analysts, and other stakeholders to gather requirements, provide technical guidance, and ensure successful data integration solutions.
Qualifications:
- Educational Background: Bachelor’s degree in Computer Science, Information Technology, or a related field (B. E, B.Tech, MCA, MCS). Advanced degrees or certifications are a plus.
- Experience: Minimum 3-5 years of hands-on experience with Azure Data Factory, including designing and implementing complex data pipelines.
- Technical Skills:
- Strong knowledge of ADF components and activities, including datasets, pipelines, data flows, and triggers.
- Proficiency in incremental data loading techniques and optimization strategies.
- Experience working with various file formats and handling large-scale data files.
- Proven ability to integrate and interact with APIs for data retrieval and processing.
- Hands-on experience with Azure Blob Storage and Azure Data Lake Storage.
- Familiarity with ADF automation features and scheduling.
- Soft Skills:
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Ability to work independently and manage multiple tasks effectively.
