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- As a data engineer, need to design and implement scalable data solutions using Azure services.
- Develop and manage data pipelines for ingestion and integration.
- Developing, managing and optimizing robust and reliable data pipelines using azure native capabilities.
- Implement ADF workflows that perform data ingestion, data integration/ETL, statistical model executions etc.
- Experience in Azure SQL Database, Azure Data Factory, Databricks, etc
- Strong skills in SQL, Python, or Spark.
- Design efficient data models and implement ETL processes.
- 5+ Years of experience with Azure cloud data engineering tools (Azure Data Factory, Data Lake storage, data bricks, Data Explorer, Azure Synapse, Azure Blob Storage)
- Knowledge of data modeling, integration, and design techniques a plus
- Work with cross-functional teams to understand and address data requirements.
- Innovative thinker who is positive, proactive, and readily embraces change, Effective communication, and collaboration with diverse teams.
- Experience in Data Analysis and Shell Scripting.