Azure Data Engineer - ETL/PySpark

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 (ref:hirist.tech)

Location: in, IN

Posted Date: 10/24/2024