Data Engineer (Orchestration & Data Modeling)

Role Overview: You will be an Advanced Data Engineer with a focus on utilizing a tech stack that includes proficiency in Python, SQL, Databricks, Snowflake Data Modeling, ETL process, Apache Spark and PySpark, data integration and workflow orchestration, and real-time data processing experience/frameworks. Cloud experience, particularly with Azure, is preferred for this role. Key Responsibilities: - Analyze and organize raw data to build data systems and pipelines in the Azure Cloud Platform - Migrate data from on-premises to cloud-based solution architectures using Azure - Develop ETL processes using Python, Spark, and SQL - Utilize Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks, Azure Synapse Analytics, or equivalent tools and technologies - Build data lakes and data warehouses to support operational intelligence and business intelligence Qualifications Required: - Minimum 5 years of experience in a Data Engineering role - Extensive experience with Python, Spark, and SQL - Proficiency in Azure services such as Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks, and Azure Synapse Analytics - Excellent written and verbal communication skills (Note: The Job Description does not contain any additional details about the company) Role Overview: You will be an Advanced Data Engineer with a focus on utilizing a tech stack that includes proficiency in Python, SQL, Databricks, Snowflake Data Modeling, ETL process, Apache Spark and PySpark, data integration and workflow orchestration, and real-time data processing experience/frameworks. Cloud experience, particularly with Azure, is preferred for this role. Key Responsibilities: - Analyze and organize raw data to build data systems and pipelines in the Azure Cloud Platform - Migrate data from on-premises to cloud-based solution architectures using Azure - Develop ETL processes using Python, Spark, and SQL - Utilize Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks, Azure Synapse Analytics, or equivalent tools and technologies - Build data lakes and data warehouses to support operational intelligence and business intelligence Qualifications Required: - Minimum 5 years of experience in a Data Engineering role - Extensive experience with Python, Spark, and SQL - Proficiency in Azure services such as Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks, and Azure Synapse Analytics - Excellent written and verbal communication skills (Note: The Job Description does not contain any additional details about the company)