Cloud Engineer

Role- Azure Synapse Data Engineer

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.

Strong analytical and problem-solving skills. Excellent knowledge of Data structures.

Monitor data pipelines to ensure efficient data flow

Excellent communication and collaboration skills.