Job Summary: The Data Engineer will play a crucial role in designing, implementing, and maintaining our organization's data infrastructure. This role will contribute to the efficient storage, retrieval, and analysis of data, enabling informed decision-making across our organization.Duties and Responsibilities:Gather and analyze data from multiple sources to generate actionable insights and recommendations. Collaborate with cross-functional teams to understand data requirements to design efficient data warehouse solutions Develop and maintain a robust data warehouse architecture that ensures scalability, performance, and data integrityDevelop and maintain Data Warehouse modeling using ETL, Including Azure Data Factory, Azure Synapse, Azure Data Fabric, Azure PurviewWork closely with business stakeholders to understand requirements and translate them into technical solutions.Data Quality Assurance - ensure data accuracy, consistency, and integrity throughout all processes, and implement data governance best practices.Monitor and tune the data warehouse performance to ensure optimal query execution and data retrieval timesIdentify and resolve bottlenecks in the ETL pipelines and data warehouse infrastructureDevelop and maintain data models, including dimensional and star schemas, to support efficient querying and reportingCollaborate with reporting and analytics teams to understand requirements and translate them into effective data structuresImplement security measures to protect sensitive data within the data warehouseWork closely with developers, analysts, and other stakeholders to understand their data needs and provide necessary supportDocument data warehouse processes, data dictionaries, and ETL workflows for knowledge sharing and future referenceDesign, implement, and document data architecture and data modeling solutionsParticipate with Data Analyst(s) as needed to define minimal viable data assets in support of the visual needs.Review and provide architectural guidance for analytic solutionsTriage and troubleshoot data anomalies submitted by the user communityEnsure data accuracy, integrity, and consistency by implementing data quality controls and best practices.Stay current with cloud technologies and best practices to continuously improve data engineering capabilities.Participate in projects related to data governance, data warehousing, and data integration.Apply CICD automation over the data pipelines implementations.Required Qualifications and Experience:Bachelor's degree in Computer Science, Information Systems, Statistics, or related field.3 years of experience in data engineering, or related role.Proficiency in Python and SQL, Spark, Kafka, CDC, Batch and streaming analytics.Experience with Microsoft ecosystems such SQL Server Management Studio, Visual Studio, SQL Server Reporting Services.Experience with data engineering workflow tools eg. DBT, Airflow.Experience with DWH and ETL tools Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Data Fabric, Azure Purview. And Data LakhouseStrong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.Excellent communication and presentation skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.Ability to work independently and collaboratively in a fast-paced environment.Experience Data Management Concepts and technologies.Knowledge of DevOps, CICD, Git concepts and technologies.Knowledge of Agile, Scrum, Jira concepts and methodologies.