01Overview
3 - 6 years experience in one of the deep technical specializations below:Analytics: SQL DW, Azure Data Factory & Azure Databricks .Experience in ETL/Pipeline Development using tools such as Azure Databricks/Apache Spark and Azure Data Factory with development expertise in batch and Realtime data integration.Working experience on PostgreSQL is mandate.Design and Develop Data ProcessingAdvanced Analytics including Azure Synapse Analytics, Azure Data Bricks, data visualization tools.Experience in programming using Pyspark / PythonExperience in relational data processing technology like MS SQL, Delta Lake, Spark SQLEnterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management.Hands-on experience on the Application migration from on premises to Azure cloudRoles & Responsibilities
Sound knowledge & hands-on experience in design and implementation of Azure Data Factory pipelines.Hands-on experience with GitHub, Azure DevOps, and Azure pipelines for CI/CD performance tuning ADF pipelines, Debugging issues with transformation, connectivity.Sound knowledge & hands-on experience in Azure Data factory, Azure Logic Apps flow, Azure Data Lake, Azure Synapse, Azure Databricks, PySpark.Knowledge on Azure DevOps CI/CDFlexible and proactive/self-motivated working style with strong personal ownership of problem resolution.Build ADF pipelines and orchestrate end to end.Ability to multi-task under pressure and work independently with minimal supervision.Strong verbal and written communication skills.Must be a team player and enjoy working in a cooperative and collaborative team environment.Adaptable to new technologies and standards.Participate in all aspects of solution delivery life cycle including analysis, design, development, testing, production deployment.Must be well versed with agile way of delivery .
