Posted:1 week ago|
Platform:
On-site
Full Time
We are seeking a highly skilled Senior Data Engineer with deep expertise in Microsoft Azure data ecosystem to design, develop, and maintain scalable data pipelines and architectures. The ideal candidate will play a key role in building robust data solutions that support advanced analytics, BI, and AI workloads across the organization. This role involves working with cross-functional teams — data scientists, analysts, and business stakeholders — to ensure high-quality, secure, and performant data delivery.
● Azure Data Factory (ADF) – pipeline orchestration, triggers, linked services, integration runtime.
● Azure Databricks – PySpark, Delta Lake, notebooks, job orchestration.
● Azure Synapse Analytics – dedicated and serverless SQL pools, data modeling, query optimization.
● Azure Data Lake Storage (ADLS Gen2) – hierarchical namespace, lifecycle management.
● Azure Functions / Logic Apps – event-driven data workflows.
● Azure Event Hubs / Kafka / Stream Analytics – real-time data ingestion. Programming & Tools: ● Strong in Python or Scala for data transformations.
● Proficient in SQL (T-SQL, Spark SQL, or Synapse SQL).
● Experience with PySpark for distributed data processing.
● Knowledge of Git, CI/CD, and DevOps best practices.
● Familiarity with Power BI integration or other reporting tools is a plus
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