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Senior Data Engineer

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Mumbai, Maharashtra, India Kezan consulting Full time
Key Responsibilities:  Design and implement data solutions using Azure services: You will be responsible for designing and implementing data solutions using Azure services such as Azure Data Factory, Azure Databricks, Azure Stream Analytics, Azure SQL Database, and others.  Data modeling and data warehousing: You will be responsible for creating and implementing data models and data warehousing solutions using tools like Azure Synapse Analytics.  Data integration: You will be responsible for integrating data from various sources, including structured and unstructured data, into Azure data solutions.  Data processing and data analysis: You will be responsible for processing and analyzing data using Azure services like Azure HDInsight, Azure Stream Analytics, and Azure Databricks.  Data management and governance: You will be responsible for managing and governing data using Azure services like Azure Data Catalog, Azure Purview, and Azure Data Share.  DevOps and automation: You will be responsible for automating data engineering tasks using Azure DevOps, PowerShell, and other tools.  Performance optimization and scalability: You will be responsible for optimizing performance and scalability of Azure data solutions.  Security and compliance: You will be responsible for ensuring that Azure data solutions are secure and compliant with regulatory requirements.
 Collaboration and communication: You will be responsible for collaborating with other data engineers, data scientists, and stakeholders to design and implement data solutions that meet business requirements. Essentials:  5-7+ years of extensive experience in a Data Engineer role  Experience with Python, SQL and SQL databases  Experience with Azure(if not, then other cloud platforms)  Experience of the full software development life cycle with industry best practices is crucial, knowledge of Azure, CI/CD is preferred  Experience with ETL, data inflow and data outflow  Experience building and optimizing data pipelines to and from data warehouses  Experience supporting and working with cross-functional teams in a dynamic environment  Experience working on evaluating, prioritizing and developing product features  Experience working in a start-up environment Nice-to-haves:  Knowledge of cookies, tracking and compliance  Working in a marketing/sales-based engineering role or a good understanding of the marketing/sales function  Understanding of Machine Learning algorithms and techniques