Data Engineering Expert for Azure Modern Data Warehouse
2 days ago
Job Description:
We are seeking a skilled Data Engineer to join our team at Talpro. This role involves designing and implementing data pipelines, data engineering solutions, and developing data products using Azure Modern Data Warehouse platform components.
Key Responsibilities:
- Translate business requirements into technical solutions for data curation and transformation, specifically using Databricks Lakehouse from a modeling and ELT perspective.
- Develop data pipelines and orchestration using Azure Data Factory and other Azure Modern Data Warehouse platform components.
- Utilize SQL programming and Pyspark for data manipulation and processing tasks.
- Work with Azure services such as ADLS (Azure Data Lake Storage), ADX (Azure Data Explorer), and Databricks.
- Experience in SQL Server migration to the cloud and handling structured and unstructured datasets.
- Good knowledge of DevOps tools and processes, and experience in automating data pipelines through a CI/CD delivery methodology.
- In-depth hands-on implementation knowledge on Azure Databricks, Databricks Delta Lake, and managing Delta Tables.
- Understand and implement data modeling for the data lake.
Requirements:
- Minimum of 5-7 years of experience working on Azure and Databricks "Lakehouse" implementation.
- Strong experience in ADF (Azure Data Factory) and SQL as primary skills.
- Familiarity with Informatica PWC and Oracle PL/SQL.
- Experience in SQL programming and Pyspark.
- 2 or more years of experience as a Data Engineer, specifically in the Azure Modern Data Warehouse platform.
- Good understanding of data modeling and data lake concepts.
- Expertise in Databricks, ADLS, ADX, and other Azure services.
- Prior experience in SQL Server migration to the cloud.
- Knowledge of DevOps tools and processes
Estimated Salary: $140,000 - $180,000 per year, depending on location and experience.
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