Azure Data Engineer Noida (India)

As an Azure Data Engineer, you will play a crucial role in designing, building, and maintaining scalable data storage and processing solutions using Azure services. Your key responsibilities will include: - Designing, building, and maintaining scalable data storage and processing solutions using Azure SQL Database, Azure Data Lake, and Azure Blob Storage. - Developing and managing ETL pipelines for data ingestion, transformation, and analytics using Azure Data Factory and Databricks. - Implementing data validation, cleansing, and quality checks to ensure data integrity and reliability. - Ensuring adherence to data security, compliance, and governance standards. - Collaborating with cross-functional teams to translate business requirements into robust data solutions. In order to excel in this role, you are required to have the following qualifications and skills: - Solid proficiency in Python, PySpark, and SQL. - Hands-on experience with Azure services such as Data Factory, Databricks, and DevOps. - Knowledge of big data technologies and Spark Core. - Solid analytical and problem-solving skills. - Positive communication and collaboration abilities. This job opportunity is ideal for individuals with 5+ years of experience who are looking to leverage their expertise in Azure data engineering to drive impactful business solutions. As an Azure Data Engineer, you will play a crucial role in designing, building, and maintaining scalable data storage and processing solutions using Azure services. Your key responsibilities will include: - Designing, building, and maintaining scalable data storage and processing solutions using Azure SQL Database, Azure Data Lake, and Azure Blob Storage. - Developing and managing ETL pipelines for data ingestion, transformation, and analytics using Azure Data Factory and Databricks. - Implementing data validation, cleansing, and quality checks to ensure data integrity and reliability. - Ensuring adherence to data security, compliance, and governance standards. - Collaborating with cross-functional teams to translate business requirements into robust data solutions. In order to excel in this role, you are required to have the following qualifications and skills: - Solid proficiency in Python, PySpark, and SQL. - Hands-on experience with Azure services such as Data Factory, Databricks, and DevOps. - Knowledge of big data technologies and Spark Core. - Solid analytical and problem-solving skills. - Positive communication and collaboration abilities. This job opportunity is ideal for individuals with 5+ years of experience who are looking to leverage their expertise in Azure data engineering to drive impactful business solutions.