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Description- Design and implement end-to-end database solutions across cloud data warehouses (such as Snowflake), lakehouse environments (e.g., S3), and enterprise solutions (SLM/S4 Hana) - Ensure data integrity and provide meticulous attention to data quality in all business analytics solutions. - Create test strategies, test scripts, and test plans to validate complex BI data from sources like SAP SLM and S4 Hana systems and other sources. - Develop and maintain complex PL/SQL scripts and apply scripting languages like Python to automate workflows. - Build and maintain normalized database designs and data models to ensure data accuracy and efficiency. - Collaborate with stakeholders to understand business needs, translating them into technical solutions. - Deliver impactful data visualizations in Tableau that bring insight and drive business outcomes - Leverage data storytelling techniques to present data findings, insights, and hidden patterns to both technical and non-technical stakeholders.Minimum Qualifications2 years of experience of relevant experienceBachelor’s Degree or equivalentPreferred Qualifications4-6 years of relevant, progressive experience as a Data Analyst, Data Engineer or other relevant fieldShown experience in BI data testing and data validations; familiarity with ETL tools (e.g., Dataiku, Keystone, Alteryx), version control tools (e.g., GitHub), event streaming platforms (Kafka), and deployment tools (e.g., Jenkins); Proficiency in PL/SQL scripting and scripting languages such as PythonDemonstrated experience in data visualization and reporting tools, particularly TableauExperience in data modeling, normalized database design, and business metrics applicationExceptional data-driven understanding with the ability to draw insights, uncover patterns, and solve complex business problems through data analysisSolid experience in data engineering tools and concepts, data pipeline development, data model design, and aggregation strategies, in support of responsive and highly interactive data productsExperience in data wrangling and ensuring data integrity across various projectsStrong communication skills with meticulous attention to detail for translating data insights into business impactAdditional RequirementsMoreApple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
