
Senior Data Pipeline Specialist
18 hours ago
We are looking for skilled professionals to design, develop, and manage data pipelines and transformation frameworks.
As a key member of our team, you will work closely with data architects, platform engineers, and DevOps teams to build scalable, resilient, and efficient data engineering solutions using modern tools and best practices.
- Design and build ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
- Develop and optimize PySpark/Spark SQL jobs for large-scale batch and streaming data transformations.
- Ingest data from various sources including Apache Kafka, REST APIs, and RDBMS, ensuring real-time availability.
- Implement data modeling strategies for analytics consumption layers in Synapse or ADLS.
- Collaborate with DevOps teams to automate deployment using CI/CD pipelines.
- Monitor, troubleshoot, and optimize data workflows for performance, cost-efficiency, and reliability.
Key Responsibilities:
We seek a candidate with 5+ years of experience in data engineering roles. The ideal candidate should have hands-on experience with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
Must-Have Skills:
• Hands-on experience with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
• Strong knowledge of SQL, Python, and Spark for data manipulation and transformation.
• Exposure to CI/CD practices.
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