Azure Data Engineer - ETL/PySpark (5-7 yrs)

Azure Data Engineer :

We are looking for a skilled and experienced Azure Data Engineer with expertise in ADF (Azure Data Factory), strong RDBMS and SQL skills, and familiarity with Informatica PWC and Oracle PL/SQL.

As an Azure Data Engineer, you will be responsible for understanding and converting Informatica PWC and Oracle PL/SQL code into ADF and Azure SQL.

Additionally, you will work on Azure and Databricks "Lakehouse" implementation, translating business requirements into technical solutions for data curation and consumption.

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