
Data Pipeline Architect
15 hours ago
Job Overview
We are seeking a highly skilled Data Pipeline Architect to design, develop, and maintain large-scale data processing solutions.
The ideal candidate will have hands-on expertise in PySpark, Python, SQL, and real-time data streaming to contribute to the design and implementation of scalable data pipelines in cloud environments.
Key Responsibilities Include:
- Designing and Developing Efficient Data Pipelines using PySpark and Spark.
- Implementing ETL Solutions to Integrate Structured and Unstructured Data from Multiple Sources.
- Developing and Maintaining Hive Queries for Seamless Data Transformations.
- Writing Optimized SQL Queries for Large Datasets.
- Building and Monitoring Real-Time Streaming Solutions using Apache Kafka.
- Working on Databricks to Create, Manage, and Optimize Data Workflows.
- Deploying and Managing Solutions in Azure Cloud Services (e.g., Data Lake, Synapse).
- Collaborating with Cross-Functional Teams to Deliver Data-Driven Solutions.
Benefits include opportunities for growth and development, a dynamic work environment, and collaboration with experienced professionals.
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