.As a Senior Data Engineer with our team, you'll play a pivotal role in shaping the future of our data products and analytical services. Leveraging your expertise in DBT (Data Build Tool), SQL/Snowflake, and AWS/Azure, you'll work with stakeholders across Audit, Tax, and Accounting, to build and maintain robust data pipelines that power our analytics and drive informed decision-making for us and our customers.About the Role :Developing/enhancing data warehousing functionality including the use and management of Snowflake data warehouse and the surrounding entitlements, pipelines and monitoring, in partnership with Architects and Data Analysts.Innovate with new approaches to meeting data management requirements.Effectively communicate and liaise with other data management teams embedded across the organization and data consumers in data science and business analytics teams.Analyze existing data pipelines and assist in enhancing and re-engineering the pipelines as per business requirements.Utilize your experience in the following areas:Azure Cloud Data practices and DevOps tooling.Airflow, Data lake, Databricks, SQL, Pyspark, DBT and Snowflake.Data Warehousing, Modelling and management.Data Build tool (DBT) and other SQL automation.Python, Matlab, or similar scripting.Data Management and Data warehousing processing capabilities.Metadata Repositories, Information & Data Catalogs.Data governance as it applies to security and privacy.Master Data platform capabilities, Data Security, Privacy, and Compliance.Delivers end-to-end technical solutions for multiple products or complex projects.About You :Bachelor's degree or equivalent required, Computer Science or related technical degree preferred.5+ years of relevant experience in Implementation of data warehouse and data management of data technologies for large scale organizations.Experience in building and maintaining optimized and highly available data pipelines that facilitate deeper analysis and reporting.Worked on analyzing data pipelines.Knowledgeable about Airflow, Data lake, Databricks, SQL, Pyspark, DBT and Snowflake.Broad understanding of the technologies used to build and operate data and analytic systems.Excellent critical thinking, communication, presentation, documentation, troubleshooting and collaborative problem-solving skills.Hands-on experience with programming and scripting languages.Fluency in SQL.At least one Business Intelligence tool such as PowerBI/Domo/Tableau.What's in it For You?You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role).Wellbeing: Comprehensive benefit plans; flexible and supportivebenefits for work-life balance; flexible vacation;two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year