We are seeking a mid-senior level highly skilled and experienced Data Engineer to join our team. As a Data Engineer, you will play a critical role in developing and maintaining our data analytics infrastructure and data warehouse architecture. You will collaborate with cross-functional teams to design, build, and optimize data pipelines, ensuring the availability, reliability, and efficiency of our data ecosystem.RESPONSIBILITIESAct as the primary contact for everything related to the data integration and data warehouse.Design, develop, and maintain scalable and efficient data pipelines and ETL processes to extract, transform, and load data from various sources into our reporting database/data warehouse.Build a framework of repeatable solutions and playbooks enabling efficient and predictable data pipelines.Have hands-on development experience in the implementation of an agile, cloud centric data warehousing and reporting platformCollaborate with stakeholders to understand data requirements and translate them into technical specifications and solutions.Implement data models, database schemas, and data transformation logic to support efficient data storage, retrieval, and analysis with proper data warehouse model and architecture.Perform data cleansing, data quality assurance, and data validation to ensure accuracy and reliability of the data and outcomes.Optimize data infrastructure, query performance, and data processing workflows to improve overall system efficiency and speed.Work closely with data analysts and BI developers to provide them with reliable data for ingestion, analysis, and reporting purposes.Ensure data security, privacy, and compliance with relevant regulations and best practices.Monitor and troubleshoot data pipeline issues, resolve data-related anomalies, and perform root cause analysis.Stay updated with industry trends, emerging technologies, and best practices in data engineering, data analytics, and data warehouse architecture.Maintain query performance and tuning to ensure cost optimization.REQUIREMENTSProven experience as a Data Engineer, working with large-scale data pipelines, data warehouse architecture, and ETL processes.Solid understanding of data warehouse concepts, dimensional modeling, and schema design principles.Experience with Microsoft Azure cloud computing platforms and services.Experience with Azure data integration and orchestration tools, such as Data Factory, Databricks, or Synapse Analytics, for building end-to-end data pipelines or similar tools and technologies.Knowledge of Azure analytics services like Azure Analysis Services, Azure Machine Learning, or Azure Data Explorer for advanced data analytics and insights or similar tools and technologies.Familiarity with Azure DevOps or similar CI/CD tools for managing and deploying data integration code.