
Senior Data Engineer
3 weeks ago
We are seeking a skilled and experienced Data Engineer with expertise in PySpark and Azure Data Factory to join our team. The ideal candidate will have a minimum of 5 years of professional experience in data engineering and a strong understanding of data processing, transformation, and integration. Knowledge of Power BI or other data visualization tools is highly preferred.
Key Responsibilities:- Design, develop, and maintain scalable data pipelines using PySpark and Azure Data Factory.
- Transform and integrate large datasets from multiple sources to support analytical and business intelligence requirements.
- Collaborate with data analysts, scientists, and stakeholders to define data requirements and deliver solutions.
- Optimize data workflows for performance, scalability, and cost efficiency.
- Monitor and troubleshoot data pipelines to ensure high availability and reliability.
- Implement best practices for data governance, security, and compliance.
- Utilize Power BI or other visualization tools to create dashboards and reports (preferred).
- Experience: Minimum 5 years of hands-on experience in data engineering.
- Technical Expertise:
- Strong knowledge of PySpark for data processing and transformation.
- Proficiency in Azure Data Factory for building and managing ETL/ELT workflows.
- Familiarity with data storage solutions (e.g., Azure Data Lake, SQL databases).
- Experience with version control systems like Git.
- Visualization Skills: Knowledge of Power BI or other visualization tools is highly desirable.
- Problem-Solving: Excellent analytical and problem-solving skills for complex data challenges.
- Communication: Strong verbal and written communication skills for effective collaboration.
- Preferred Skills:
- Understanding of Azure cloud services (e.g., Azure Synapse, Logic Apps).
- Familiarity with Agile methodologies and CI/CD pipelines.
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: IT Services and IT Consulting
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