Overview:
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.
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A PROUD HISTORY OF OVER 75 YEARS
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FY22 REVENUE 10.4 BN USD
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WE’RE PRESENT IN 66 COUNTRIES
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OVER 1,400 ACTIVE GLOBAL CLIENTS
Data Engineer
Atlanta, GA (USA)
JD:
Databricks lead/Sr. Developer:- Developing and managing of advanced data solutions on the Microsoft Azure platform. Creation of scalable data pipelines, design data architectures, and ensure efficient ETL processes using services like Azure Synapse, Azure Data Factory, and Azure Databricks. Role involves ensuring data security, compliance, and optimizing performance while collaborating with stakeholders to meet data requirements. Also maintain technical documentation and implement continuous improvement practices in application development and operations. Provide technical leadership and guidance in implementing best practices for data engineering, performance optimization, and data governance. Design and implement data integration strategies leveraging Azure services such as Azure Data Factory, Azure Blob Storage, and Azure SQL Database.
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Lead a team of Azure data engineers in designing, building, and maintaining scalable and efficient data pipelines on Azure cloud platform, utilizing services like Azure Synapse, Azure Data Factory, Azure Fabric, Azure SQL Database, and others.
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Design data solutions, including data lakes, data warehouses, and real-time data processing systems, leveraging Azure services like Azure Data Lake Storage, Azure Synapse Analytics
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Integrate diverse data sources into Azure-based solutions. Ensure smooth and efficient ETL processes, real-time data ingestion, and data transformation. Implement data integration best practices.
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Design and implement data models and schemas to support business requirements. Ensure data accuracy, consistency, and reliability. Optimize data structures for performance and scalability.
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Good experience on Azure Purview integrating data pipelines with Purview for Data lineage, experience with Microsoft Fabric, migrating the application from Azure Data Factory and Azure Synapse to Microsoft Fabric
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Implement robust data security measures, including encryption, access control, and data masking. Ensure compliance with data privacy regulations and company policies.
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Monitor and optimize data pipelines and queries for performance and efficiency. Implement caching, partitioning, and indexing strategies. Troubleshoot and resolve performance issues.
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Establish and enforce data quality standards. Implement data governance practices, metadata management, and data lineage tracking. Ensure data quality through validation and cleansing processes.