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About the role
As a Data Engineer specializing in Snowflake, Azure, and Power BI, your role will involve designing and building enterprise-grade data pipelines and platforms. You will be responsible for developing scalable ETL/ELT solutions using Azure Data Factory, Databricks, and Snowflake. Additionally, you will create contemporary Data Warehouse solutions and dimensional data models, as well as build impactful dashboards, reports, and business insights using Power BI. Key Responsibilities: - Design and build enterprise-grade data pipelines and platforms - Develop scalable ETL/ELT solutions using Azure Data Factory, Databricks, and Snowflake - Create Data Warehouse solutions and dimensional data models - Build impactful dashboards, reports, and business insights using Power BI - Develop high-performance data processing frameworks using Python, PySpark, and SQL - Implement real-time data ingestion and streaming solutions using Kafka - Leverage Azure Data Lake, Synapse Analytics, and Azure SQL Database to support large-scale analytics workloads - Drive data quality, governance, performance optimization, and automation across the data ecosystem Qualifications Required: - 56 years of experience in Data Engineering and Analytics - Strong expertise in Snowflake and Modern Data Warehousing - Hands-on experience with Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and Azure SQL Database - Strong programming skills in Python, PySpark, and SQL - Advanced Power BI development experience including Dashboard Development, Data Visualization, KPI Reporting, and Performance Optimization - Experience with Data Modeling & Dimensional Modeling, ETL/ELT Development, Kafka & Real-Time Data Processing, MongoDB / NoSQL Databases, and CI/CD using GitHub Actions Additional Company Details: This is a hybrid remote position located in Noida, Uttar Pradesh, with one day per week spent at the client location. The work timings are from 11:00 AM to 9:00 PM. The company offers a competitive monthly salary ranging from 70,000.00 to 90,000.00. In this role, you will have the opportunity to work on enterprise-scale cloud data platforms, collaborate with high-performing engineering and business teams, and gain exposure to cutting-edge Azure, Snowflake, and modern analytics ecosystems. As a Data Engineer specializing in Snowflake, Azure, and Power BI, your role will involve designing and building enterprise-grade data pipelines and platforms. You will be responsible for developing scalable ETL/ELT solutions using Azure Data Factory, Databricks, and Snowflake. Additionally, you will create contemporary Data Warehouse solutions and dimensional data models, as well as build impactful dashboards, reports, and business insights using Power BI. Key Responsibilities: - Design and build enterprise-grade data pipelines and platforms - Develop scalable ETL/ELT solutions using Azure Data Factory, Databricks, and Snowflake - Create Data Warehouse solutions and dimensional data models - Build impactful dashboards, reports, and business insights using Power BI - Develop high-performance data processing frameworks using Python, PySpark, and SQL - Implement real-time data ingestion and streaming solutions using Kafka - Leverage Azure Data Lake, Synapse Analytics, and Azure SQL Database to support large-scale analytics workloads - Drive data quality, governance, performance optimization, and automation across the data ecosystem Qualifications Required: - 56 years of experience in Data Engineering and Analytics - Strong expertise in Snowflake and Modern Data Warehousing - Hands-on experience with Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and Azure SQL Database - Strong programming skills in Python, PySpark, and SQL - Advanced Power BI development experience including Dashboard Development, Data Visualization, KPI Reporting, and Performance Optimization - Experience with Data Modeling & Dimensional Modeling, ETL/ELT Development, Kafka & Real-Time Data Processing, MongoDB / NoSQL Databases, and CI/CD using GitHub Actions Additional Company Details: This is a hybrid remote position located in Noida, Uttar Pradesh, with one day per week spent at the client location. The work timings are from 11:00 AM to 9:00 PM. The company offers a competitive monthly salary ranging from 70,000.00 to 90,000.00. In this role, you will have the opportunity to work on enterprise-scale cloud data platforms, collaborate with high-performing engineering and business teams, and gain exposure to cutting-edge Azure, Snowflake, and modern analytics ecosystems.
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