Data Engineer
CurrentResponsibilities:-Building and maintaining data warehouses, setting up pipelines, and deploying models while ensuring data is securely and readily available to internal and external stakeholders-Identifying, designing, and implementing internal process improvements, including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.-Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Looker, and BigQuery.-Working with data and technology while assisting with data-related technical issues and supporting data infrastructure needs while ensuring compliance with data governance and security policies.-Providing assistance with the development and management of continuous integration, continuous delivery, and continuous testing pipelines for machine learning and other model iterations for customers.-Maintaining comprehensive documentation for data engineering processes, workflows, and solutions.-Analysing large datasets to identify trends, patterns, and correlations relevant to our clients’ business objectives.-Developing and maintaining data models, algorithms, and statistical analyses to support decision-making processes.-Collaborating with cross-functional teams to gather requirements and define data-driven solutions.-Designing and implementing data visualisation dashboards and reports to communicate findings effectively.-Performing data cleansing, transformation, and validation to ensure data accuracy and consistency.-Staying current with industry trends and best practices in data analysis, cloud computing, and related technologies.-Supporting ongoing data-related projects and initiatives, including data migration, integration, and optimisation efforts.