Senior Data Engineer
il y a 4 jours
Title: Senior Data Engineer Location: Pakistan
Role Type: Fulltime
Time: Eastern Standard Time (EST)
Responsibilities:
- Design, implement, and maintain data platforms and pipelines leveraging Microsoft Fabric, Azure Data Factory (ADF), SQL Server, and SSIS.
- Develop and optimize ETL/ELT workflows for structured and unstructured data using ADF, Fabric Dataflows, and PySpark.
- Integrate data from multiple sources (APIs, relational, and non-relational databases) into Lakehouse and SQL Server
- Implement data transformation and cleansing logic using Python, PySpark, and Fabric notebooks.
- Collaborate with Data Science and BI teams to prepare datasets for analytics, dashboards, and machine learning models.
- Design and enforce data modeling best practices, including dimensional modeling for data warehouses.
- Automate workflows using Power Automate for notifications, approvals, and orchestration of data refresh processes.
- Monitor and improve data pipeline performance, ensuring scalability and reliability.
- Manage metadata and data cataloging within Microsoft Fabric for discoverability and governance.
- Develop incremental and real-time data ingestion strategies for large datasets.
- Ensure compliance with data security and governance policies across all environments.
- Provide technical guidance and mentorship to junior data engineers.
Requirements
- Bachelor's degree in Computer Science, Data Engineering, or related field.
- 5+ years of experience in data engineering with strong expertise in:
- Microsoft Fabric (Lakehouse, Dataflows, Pipelines)
- Azure Data Factory (ADF) and SSIS
- SQL Server (T-SQL, stored procedures, performance tuning)
- Python and PySpark for data processing
- Hands-on experience with ETL/ELT design, data warehousing, and dimensional modeling.
- Familiarity with Power Automate for workflow automation.
- Strong understanding of data governance, metadata management, and security best practices.
- Experience with incremental loads, CDC (Change Data Capture), and real-time streaming.
- Ability to troubleshoot and optimize data pipelines for performance and cost efficiency.
- Excellent communication skills for cross-functional collaboration.
- Knowledge of Azure services (Key Vault, Storage, Synapse) and Fabric integration.
- Self-starter with a proactive approach to problem-solving and continuous improvement.
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