
Lead Data Solutions Architect
2 days ago
As a skilled Data Engineer, you will play a critical role in designing, developing, and managing data pipelines and transformation frameworks that enable analytics, reporting, and business intelligence capabilities across the enterprise.
You will be working closely with data architects, platform engineers, and DevOps teams to build scalable, resilient, and efficient data engineering solutions using modern Azure tools and best practices.
Requirements:- 5+ years of experience in data engineering roles
- Hands-on experience with:
- Azure Data Factory (ADF)
- Azure Databricks (PySpark)
- Azure Synapse Analytics
- Apache Kafka
- Strong skills in SQL, Python, and Spark for data manipulation and transformation
- Exposure to CI/CD practices and infrastructure-as-code tools
- Understanding of data lake architecture and modern data warehousing principles
- Design and build scalable ETL/ELT pipelines
- Develop and optimize PySpark/Spark SQL jobs for large-scale batch and streaming data transformations
- Collaborate with DevOps teams to automate deployment using CI/CD pipelines
- Monitor, troubleshoot, and optimize data workflows for performance, cost-efficiency, and reliability
- Support data quality checks, logging, alerting, and observability mechanisms for production workloads
- Experience with Delta Lake, Event Hub, or Azure Stream Analytics
- Familiarity with Terraform or ARM templates
- Exposure to Data Governance, Data Quality frameworks, or metadata management
Preferred Certifications:
Microsoft Certified: Azure Data Engineer Associate , Databricks Certified Associate Developer for Apache Spark , Azure Fundamentals (AZ-900)
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