Azure Data Engineer
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Focus: Apache Spark, ETL, Data Ingestion & Data Integration and Azure Data Engineering
Key Requirements:
- Strong hands on Azure Data Engineering
- Strong hands-on experience in Apache Spark
- Experience in ETL development
- Strong knowledge of data ingestion and data integration
- Experience with data transformation and data modelling
- Experience supporting Spark-based data processing
- Experience loading, preparing, and processing datasets
- Experience integrating Spark processing with Elasticsearch / OpenSearch – preferred
- Programming experience in Python or Scala – preferred
- Ability to participate in technical discussions/workshops with architects
- Experience supporting data engineering pipelines and processing workflows