Data Engineer
1 month ago
We are looking for Azure Data Engineers.
Exp : 4 -7 Years.
Location : Hyderabad/Bangalore.
Mode : Hybrid.
Notice : 10 days.
Skills :
Mandatory : Pyspark,SQL,DAX,Cube,.
Preferred : ADF,ADB,SSIS/SSAS, Fabric.
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 :
- 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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