Senior Enterprise Data Engineer

Company Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today s needs and tomorrow s next big ideas With a rich history of groundbreaking innovations in Flash and advanced memory technologies our solutions have become the beating heart of the digital world we re living in and that we have the power to shape Sandisk meets people and businesses at the intersection of their aspirations and the moment enabling them to keep moving and pushing possibility forward We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation performance and quality Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations With our global reach we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward Hands on involvement in designing developing and supporting low-latency data pipelines using Oracle Data Integrator ODI Informatica while ensuring data quality accuracy reliability and efficiency Operations Support for Data Warehouse Data pipelines ETL Processes Design and Build scalable ETL ELT pipelines for structured and unstructured data Optimize SQL Queries and design structure in Data warehouse to improve overall performance and query efficiency Collaborating with cross-functional teams including Enterprise Architects DBA s Business Analysts Solution Architects IT Business teams to understand and implement cross-functional data strategy and architecture Implement data quality lineage and governance frameworks for reliability and compliance Partner with BSA s and other data engineers to ensure compliance to standards of Data integrations data management and review the data solutions Drive architecture reviews and long-term data strategy ensuring alignment with business goals Stay updated with the latest industry trends and best practices and share knowledge and expertise to modernize the data platform Qualifications REQUIRED Bachelor s degree or higher in Computer Science or Engineering or related field Minimum 4 years of experience working with Data Management including Data Integration ETL ODI Informatica Talend etc Data Warehouse Oracle Data Lake Master Data Management Data Quality Data Modeling Data Analytics BI Data Enrichment Security and Governance Minimum of 3 years of experience focused specifically on Solution Architecture of large complex data management programs Strong understanding and experience building ELT ETL solutions Expertise in SQL and Python programming languages Demonstrable experience working with data structures coming from variety of SAP ERP CRM and other data sources Experience working with at least one major cloud data platforms like AWS Azure GCP Experience and certifications in modern data platforms - Databricks Snowflake Strong data Modeling experience Design and implement conceptual logical and physical data models to support business processes and reporting needs Tune complex solutions monitor system performance and provide recommendations and means for improvement Prototype new technologies and implement innovative solutions to enable teams to consume and understand data faster Responsible for metadata management of data domain inclusive of data definitions data catalog data lineage and documentation of data flow for critical processes Sox compliance Partner with Data Governance analyst and Business Data Stewards Maintain in-depth understanding of business functions processes and relationships as it relates to data SKILLS Design and Build scalable ETL ELT pipelines for structured and unstructured data Data Modelling Data warehouse Ability to analyze communicate and solve complex problems SQL - Advanced querying and optimization Python - Expert-level proficiency with data-focused libraries such as Pandas NumPy and PySpark ETL ELT Concepts - Scalable pipeline design and orchestration ODI Informatica Talend Data Visualization - Power BI Cloud Fundamentals - AWS GCP or Azure basics Data Engineering Analytics - Data modeling pipeline optimization API and frameworks Collaboration Communication - Work cross-functionally with teams Analytical Thinking Troubleshooting - Diagnose and resolve data issues effectively Additional Information Sandisk thrives on the power and potential of diversity As a global company we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within We believe the fusion of various perspectives results in the best outcomes for our employees our company our customers and the world around us We are committed to an inclusive environment where every individual can thrive through a sense of belonging respect and contribution Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process Please contact us at to advise us of your accommodation request In your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying