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.

　　A PROUD HISTORY OF OVER 75 YEARSFY22 REVENUE 10.4 BN USDWE'RE PRESENT IN 66 COUNTRIESOVER 1,400 ACTIVE GLOBAL CLIENTS

　　Role: Azure Synapse Data Engineer

　　Location: Remote

　　Yrs. of experience: 10+ years Exp

　　Mode of employment: Full-Time

　　Designing Synapse tables and implementing data solutions within the Azure ecosystem. Design , develop and implement Synapse tables to support data ingestion, transformation and storage processes. Utilize Spark Scala / SQL to build scalable and efficient data pipelines within Azure Synapse. Optimize data storage, ensuring high performance and reliability in Synapse environment. Provide expertise in troubleshooting and resolving data related issues within Azure Synapse. Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions. Proven experience working with Azure Synapse Analytics. Proficiency in Spark Scala/SQL for data processing and transformation. Strong understanding of data modelling concepts and database design principles within Synapse. Ability to optimize and tune Synapse tables for performance and scalability. Excellent communication skills and the ability to work collaboratively in a team environment.

　　Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law.

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　　Apache Spark