Senior Data Engineer

We are seeking a highly skilled Senior Data Engineer to join our dynamic team in Haryana. The ideal candidate will have extensive experience in data engineering and a strong background in cloud technologies, particularly within the Azure ecosystem. As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support our data analytics and business intelligence initiatives. Key Responsibilities: - Develop and implement data pipelines using Azure Synapse, Databricks, and PySpark to ensure efficient data processing and storage. - Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions. - Manage and optimize data storage solutions using Azure Data Lake Storage (ADLS) and Delta Lake. - Implement CI/CD practices using Azure DevOps to streamline data engineering workflows and enhance deployment processes. - Monitor and troubleshoot data pipeline performance, ensuring data integrity and availability. - Stay updated with the latest trends and technologies in data engineering and cloud computing to continuously improve our data infrastructure. Required Skills: - Proficiency in Azure Synapse, Databricks, and PySpark. - Strong experience with Azure Data Lake Storage (ADLS) and Delta Lake. - Solid understanding of SQL and data engineering principles. - Familiarity with CI/CD practices and Azure DevOps. - Excellent problem-solving skills and the ability to work collaboratively in a team environment. If you are passionate about data engineering and eager to work with cutting-edge technologies, we encourage you to apply for this exciting opportunity.