Role & responsibilities A senior cloud data engineer with 7+ years of experienceStrong knowledge and hands on experience with Azure data services such as Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, Azure Data Lake, Logic apps, Azure Synapse Analytics, Apache spark and Snowflake Datawarehouse, Azure FabricGood to have Azure Databricks, Azure Cosmos DB, etc, Azure AIMust have experience in developing could base application.Should be able to analyze problem and provide solution.Experience in designing, implementing, and managing data warehouse solutions using Azure Synapse Analytics or similar technologies.Experience in migrating the data from On-Premises to Cloud.Proficiency in data modeling techniques and experience in designing and implementing complex data models.Experience in designing and developing ETL/ELT processes to move data between systems and transform data for analytics.Strong programming skills in languages such as SQL, Python, or Scala, with experience in developing and maintaining data pipelines.Experience in at least one of the reporting tools such as Power BI / TableauAbility to work effectively in a team environment and communicate complex technical concepts to non-technical stakeholders.Experience in managing and optimizing databases, including performance tuning, troubleshooting, and capacity planningPreferred candidate profile Experience in developing could base data application.Hands on in Azure data services, data warehousing, ETL etcUnderstanding of cloud architecture principles and best practices, including scalability, high availability, disaster recovery, and cost optimization, with a focus on designing data solutions for the cloud.Experience in developing pipelines using ADF, Synapse.Hands on experience in migrating data from On_premises to cloud.Strong experience in writing the complex SQL Scripts, transformations.Able to analyze problem and provide solution.Knolwedge in CI/CD pipelines is plus.Knowledge in Python and API Gateway is an added advantage