Senior Azure Data Engineer

2 days ago

Bengaluru, India Genpact Full time

Job Description: PAN INDIA Role Overview: We are seeking an experienced Azure Data & Analytics Architect with a strong background in delivery and excellent communication skills. The ideal candidate will have experience and a proven track record in managing teams and client relationships. You will be responsible for leading data modernization and transformation projects using Azure services. Key Responsibilities: - Lead and architect data modernization/transformation projects using AWS services. - Manage and mentor a team of data engineers and analysts. - Build and maintain strong client relationships, ensuring successful project delivery. - Design and implement scalable data architectures and solutions. - Oversee the migration of large datasets to AWS, ensuring data integrity and security. - Collaborate with stakeholders to understand business requirements and translate them into technical solutions. - Ensure best practices in data management and governance are followed. Required Skills and Experience: - Experience in data architecture and analytics. - Defining the Azure Infra and its access to end users - Understanding the E2E Data flow and data consumption patterns - Understandings KPI’s and its data sources. - Understand the Data Sources, frequency and ingestion methods. - Design the ETL process. - Define the metadata structure. - Creating ETL Pipelines and guidance to team. - Creating conceptual, logic and physical data models. - Proven experience in delivering 4-6 large data migration/modernization projects using Azure Service. - Strong leadership and team management skills. - Excellent communication and interpersonal skills. - Deep understanding of data modeling, ETL processes, and data warehousing. - Experience with data governance and security best practices. - Ability to work in a fast-paced, dynamic environment. Preferred Qualifications: - Azure Certified Solutions Architect – Professional or Azure Certified Data Engineering – Specialty. - Experience with other cloud platforms (e.g., AWS, GCP) is a plus. - Familiarity with machine learning and AI technologies.

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