
Senior Data Pipeline Architect
2 weeks ago
We are seeking a highly skilled and self-driven professional to design, develop, and maintain scalable data pipelines and architectures, enabling effective data management, analytics, and governance.
- Design and develop efficient data pipelines using modern data engineering tools.
- Build and manage data lakes, data warehouses, and data marts using Azure Data Services.
- Integrate data from various sources including APIs, structured/unstructured files, IoT devices, and real-time streams.
- Develop and optimize ETL/ELT workflows using tools such as Azure Data Factory, Databricks, and Apache Spark.
- Implement real-time data ingestion and processing using Azure Stream Analytics, Event Hubs, or Kafka.
- Ensure data quality, availability, and security across the entire data lifecycle.
- Collaborate with analysts, data scientists, and engineering teams to deliver business-aligned data solutions.
- Contribute to data governance efforts and ensure compliance with data privacy standards.
Requirements:
- Bachelor's Degree in Computer Science, Engineering, or related field.
- 3–5 years of experience in Azure-based data engineering, PySpark, and Big Data technologies.
- Strong hands-on experience with Azure Synapse Analytics for pipeline orchestration and data handling.
- Expertise in SQL, data warehousing, data marts, and ingestion using PySpark and Python.
- Solid experience building and maintaining cloud-based ETL/ELT pipelines, especially with Azure Data Factory or Synapse.
- Familiarity with cloud data environments such as Azure and optionally AWS.
- Experience with Azure DevOps for CI/CD and artifact deployment.
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