Systems Integration

• Work as a Data Architect/Senior Data Engineer to design and develop cost-effective and reliable data solutions on any cloud platform like Azure or AWS.
• Understand client requirements and convert them into technical solutions leveraging cloud capabilities and modern technologies.
• Contribute to the company’s internal innovation projects by conducting proof of concepts and developing frameworks using state-of-the-art technologies.
• Experience in developing data pipelines using PySpark, SQL, and Python.
• Good understanding of Snowflake and Azure cloud services like Synapse, Azure Databricks, Azure Data Factory, ADLS, etc.
• Understand ETL and ELT concepts and principles, especially when migrating data from any legacy system to a modern cloud platform.
• Experience in real-time data processing using PySpark, Python, and Kafka is an advantage.
• Work as an individual contributor and spend 70% of the time writing code in different languages, frameworks, and technology stacks.
• Familiarity with emerging technologies like GenAI, Snowflake Cortex, and Databricks.

• 8 years of experience mainly in Azure/AWS cloud platforms, SQL, Python, PySpark, Snowflake.

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com.

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