About Wipro:

　　Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. We leverage our holistic portfolio of capabilities in consulting, design, engineering, operations, and emerging technologies to help clients realize their boldest ambitions and build future-ready, sustainable businesses. A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship, we have over 250,000 dedicated employees serving clients across 66 countries. We deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world.

　　Job Title: Sr Data Engineer

　　Location: Santa Clara, CA (Onsite)

　　The Customer Operations organization is seeking an experienced technology professional for the position of Senior Data Engineer to support initiatives for Operations. As a Data Engineer on our team, you will be an integral part of the Data and Analytics organization in Operations that is building the Operations Data Platform to turn data into business insights and results.

　　What you'll be doing: Develop and implement the new End-to-End Data systems for our Planning, Logistics and Services initiatives Lead discussions with stakeholders and IT to identify and implement the right data strategy given data sources, data locations, and use cases Build data pipelines to transport data from a data source to the data lake Analyze and organize raw operational data including structured and unstructured data Build data systems and pipelines ensuring that data sources, ingestion components, transformation functions, and destination are well understood for implementation Interpret trends and patterns by performing complex data analysis Prepare data for prescriptive and predictive modeling by making sure that the data is complete, has been cleansed, and has the necessary rules in place Build/develop algorithms, prototypes, and analytical tools that enable the Ops teams to make critical business decisions What we need to see: Master's or Bachelor's degree in Computer Science or Information System, or equivalent experience 10+ years of relevant experience including programming knowledge (i.e SQL, Python, Java, etc) Highly independent, able to lead key technical decisions, influence project roadmap and work effectively with team members Experience architecting, designing, developing, and maintaining data warehouses/data lakes for complex data ecosystems Expert in data and database management including data pipeline responsibilities in replication and mass ingestion, streaming, API and application and data integration Experience in developing required infrastructure for optimal extraction, transformation, and loading of data from various sources using AWS, Azure, SQL or other technologies Strong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracy Knowledge in operational processes in chips, boards, systems, and servers with a view of data landscape Ways to stand out from the crowd :Self-starter, positive mindset with integrity and accountability, highly motivated, driven, and high-reaching. Solid ability to drive continuous improvement of systems and processes A consistent record to work in a fast-paced environment where good interpersonal skills are crucial.

　　We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law. Any complaints or concerns regarding unethical/unfair hiring practices should be directed to our Ombuds Group

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　　Data Engineering Full Stack