Required Technical Skill Set - Azure Synapse, Power BI, Azure Data Factory, SQL, Databricks/Spark, Tableau, Knowledge of CI / CD Pipeline, Data modeling and strong analytic skills,
Logic Apps, Data structure knowledge
Desired Experience Range - 5-8 yrs
Location of Requirement - Bangalore/Gurgaon/Noida
Must Have
Azure Synapse Analytics: Ability to design and implement data warehouses within Synapse.
Azure Data Factory (ADF): Expertise in building and managing ETL pipelines using ADF.
Power BI: Ability to connect Power BI to various data sources, including Azure Synapse. Proficiency in creating interactive dashboards and reports
Proficiency in writing, debugging, and optimizing complex SQL queries for data engineering tasks
Azure Databricks/Spark: Practical experience with Azure Databricks and Apache Spark for large-scale data processing.
Knowledge of various data structures and how they apply to data engineering
Understanding of CI/CD principles and experience implementing pipelines for data engineering workflows
Good To Have-
Logic Apps:
Experience designing and implementing Logic Apps for workflow automation and data integration
Great organizational, project, and time management skills.
Experience with other Azure data services
Key Responsibilities-
Expertise in Azure Synapse Analytics
Build and optimize ETL/ELT pipelines using Azure Data Factory and Azure Databricks (Spark).
Create interactive dashboards and reports using Power BI and Tableau.
Hands-on experience in creating visualization, transformation, Calculate DAX measures and creating the modeling in Power BI creating pipelines
Implement and maintain CI/CD pipelines for data engineering workflows.
Minimum 5 years of experience in data engineering with a focus on Azure cloud technologies.
Experience with Azure Logic Apps for building automated workflows.
Solid analytical and problem-solving skills. Excellent knowledge of Data structures.
Monitor data pipelines to ensur