Senior Associate Data Engineer

As an Azure Cloud Data Engineer at our company in BLR/Noida, you will be responsible for designing, developing, and optimizing scalable data solutions on the Azure cloud platform. Your key responsibilities will include: - Designing, developing, and managing scalable and secure data pipelines using Azure Databricks. - Architecting and implementing cloud-based data solutions, integrating structured and unstructured data sources. - Writing clean, efficient, and reusable code primarily in Python for cloud automation, data processing, and orchestration. - Building and optimizing ETL workflows and ensuring seamless data integration across platforms. - Developing data models using normalization and denormalization techniques to support OLTP and OLAP systems. - Managing Azure-based storage solutions including Azure Data Lake and Blob Storage. - Troubleshooting performance bottlenecks in data flows and ETL processes. - Integrating advanced analytics and supporting BI use cases within the Azure ecosystem. - Leading code reviews and ensuring adherence to version control practices (e.g., Git). - Contributing to the design and deployment of enterprise-level data warehousing solutions. - Staying current with Azure cloud technologies and Python ecosystem updates to adopt best practices and emerging tools. Mandatory skill sets required for this role include: - Strong SQL skills - Azure Databricks - Pyspark - Azure Blob Storage / Azure Data Lake Storage - Apache Spark (hands-on experience) - Data modeling (Normalization & Denormalization) - Data warehousing and BI tools integration - Git (Version Control) - Building scalable ETL pipelines Preferred skill sets include an understanding of OLTP and OLAP environments, experience with Kafka and Hadoop, Azure Synapse Analytics, Azure DevOps for CI/CD integration, and Agile delivery methodologies. You are expected to have 4-8 years of experience and hold a degree in B.Tech/M.Tech/MCA. Additionally, staying updated with certifications and skills related to Data Science will be beneficial for this role. Please note that the information provided in this job posting is subject to change, and applicants are advised to verify the details on the company's website before applying. As an Azure Cloud Data Engineer at our company in BLR/Noida, you will be responsible for designing, developing, and optimizing scalable data solutions on the Azure cloud platform. Your key responsibilities will include: - Designing, developing, and managing scalable and secure data pipelines using Azure Databricks. - Architecting and implementing cloud-based data solutions, integrating structured and unstructured data sources. - Writing clean, efficient, and reusable code primarily in Python for cloud automation, data processing, and orchestration. - Building and optimizing ETL workflows and ensuring seamless data integration across platforms. - Developing data models using normalization and denormalization techniques to support OLTP and OLAP systems. - Managing Azure-based storage solutions including Azure Data Lake and Blob Storage. - Troubleshooting performance bottlenecks in data flows and ETL processes. - Integrating advanced analytics and supporting BI use cases within the Azure ecosystem. - Leading code reviews and ensuring adherence to version control practices (e.g., Git). - Contributing to the design and deployment of enterprise-level data warehousing solutions. - Staying current with Azure cloud technologies and Python ecosystem updates to adopt best practices and emerging tools. Mandatory skill sets required for this role include: - Strong SQL skills - Azure Databricks - Pyspark - Azure Blob Storage / Azure Data Lake Storage - Apache Spark (hands-on experience) - Data modeling (Normalization & Denormalization) - Data warehousing and BI tools integration - Git (Version Control) - Building scalable ETL pipelines Preferred skill sets include an understanding of OLTP and OLAP environments, experience with Kafka and Hadoop, Azure Synapse Analytics, Azure DevOps for CI/CD integration, and Agile delivery methodologies. You are expected to have 4-8 years of experience and hold a degree in B.Tech/M.Tech/MCA. Additionally, staying updated with certifications and skills related to Data Science will be beneficial for this role. Please note that the information provided in this job posting is subject to change, and applicants are advised to verify the details on the company's website before applying.