Azure Data Architect
4 weeks ago
Company Overview
TechStar Group is a leading IT Services and Consulting firm with a strong focus on driving customer success through innovative IT solutions and business process improvements. As a thought leader in the industry, TechStar has developed frameworks and accelerators that contribute to business growth and strategy formulation.
Job Overview
We are seeking a Cloud Data Solutions Expert for our office in Hyderabad. This is a full-time position that requires expertise in Azure Data Architecture and related technologies. The ideal candidate will have experience in harnessing data to support business objectives and growth.
Key Responsibilities
- Design and implement robust data architecture solutions leveraging Azure technologies to solve complex business challenges.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
- Develop and maintain scalable data models and ETL pipelines that ensure data accuracy and accessibility.
- Lead projects aimed at optimizing and enhancing the performance of data processing and storage solutions.
- Ensure adherence to data governance policies and integrate data security and compliance best practices.
- Mentor junior team members and provide guidance on best practices in data architecture and management.
- Continuously monitor industry trends and emerging technologies to recommend improvements and innovations in data strategies.
Requirements
- Deep proficiency in Microsoft Azure, especially in data architecture and design.
- Proven experience with Azure Data Architect and its functionalities.
- In-depth understanding and hands-on experience with Azure Cloud Services and infrastructure management.
- Strong skills in Data Modeling techniques to translate complex business requirements into scalable and reliable data models.
- Knowledge in ETL Processes and tools to facilitate the efficient transfer and transformation of data across platforms.
- Knowledge in Big Data Technologies to manage and analyze large volumes of data for actionable insights.
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