Azure Data Engineer
2 weeks ago
Azure Data Engineer Job Description
Talpro is seeking a skilled and experienced Azure Data Engineer to join our team. As an Azure Data Engineer, you will be responsible for designing, implementing, and maintaining large-scale data pipelines and architectures on the Azure Modern Data Warehouse platform.
Responsibilities:
- Data Curation and Transformation: Translate business requirements into technical solutions for data curation and transformation, specifically using Databricks Lakehouse from a modeling and ELT perspective.
- Azure Data Engineering: Develop data pipelines and orchestration using Azure Data Factory and other Azure Modern Data Warehouse platform components.
- SQL and Pyspark: Utilize SQL programming and Pyspark for data manipulation and processing tasks.
- Azure Services: Work with Azure services such as ADLS (Azure Data Lake Storage), ADX (Azure Data Explorer), and Databricks.
- Data Migration: Experience in SQL Server migration to the cloud and handling structured and unstructured datasets.
- DevOps and CI/CD: Good knowledge of DevOps tools and processes, and experience in automating data pipelines through a CI/CD delivery methodology.
- Databricks Expertise: In-depth hands-on implementation knowledge on Azure Databricks, Databricks Delta Lake, and managing Delta Tables.
- Data Modeling: Understand and implement data modeling for the data lake.
- Data Transfer and Oracle PL/SQL: Hands-on experience in using secure file transfer tools like Kiteworks, and Oracle PL/SQL knowledge will be a plus.
- Effort Estimation: Provide effort estimation for new projects related to data engineering.
- Complex Design and Agile Environment: Drive complex design and development efforts in an agile environment.
Qualifications:
- 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.
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