
Cloud Data Architect
13 hours ago
As a seasoned data engineer, you will design and develop scalable data pipelines and transformation frameworks to unlock business intelligence capabilities across the enterprise.
- Design and build high-performing ETL/ELT pipelines using Azure Data Factory (ADF), Azure Databricks (Spark), and Azure Synapse Analytics.
- Develop and optimize PySpark/Spark SQL jobs for large-scale batch and streaming data transformations.
- Collect and process data from various sources, including Apache Kafka, REST APIs, and RDBMS, ensuring real-time or near-real-time availability.
- Implement data modeling strategies (star schema, snowflake schema) for analytics consumption layers in Synapse or ADLS.
- Collaborate with DevOps teams to automate deployment using CI/CD pipelines (Azure DevOps, GitHub Actions, etc.).
Required Skills:
- At least 5 years of experience in data engineering roles.
- Hands-on experience with:
- Azure Data Factory (ADF)
- Azure Databricks
- Azure Synapse Analytics
- Apache Kafka
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