Data Engineer
5 days ago
Experience: 3-6 years
Budget: 22 LPA
About the Role: Key Responsibilities:
- Design and Development:
- Design and develop scalable data pipelines and solutions using Azure services.
- Implement ETL/ELT processes for data integration and transformation.
- Create and maintain data models and optimize database performance.
- Data Management:
- Ensure data quality, integrity, and security across systems.
- Monitor and troubleshoot data pipelines to ensure seamless data flow.
- Collaboration and Documentation:
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements.
- Document data solutions and workflows to ensure maintainability.
- CI/CD and Automation:
- Develop and implement CI/CD pipelines for data engineering workflows.
- Automate repetitive tasks to enhance operational efficiency.
- Streaming and Real-time Data:
- Design and implement real-time data streaming solutions using Kafka.
- Optimize real-time data ingestion and processing pipelines.
Required Skills:
- Proficiency in Azure services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database).
- Strong experience in SQL for querying, analyzing, and managing data.
- Proficiency in Python for data manipulation, scripting, and automation.
- Experience with CI/CD tools and processes (e.g., Azure DevOps, Jenkins, GitHub Actions).
- Hands-on experience with Kafka for data streaming and messaging.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
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