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Continue to make an impact with a company that is pushing the boundaries of what is possible. At NTT DATA, we are renowned for our technical excellence, leading innovations, and making a difference for our clients and…
Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and…
Designs and leads Managed Services solutions across cloud and infrastructure domains, guiding virtual teams to deliver secure, scalable, and cost-effective architectures for clients while collaborating with sales, finance, and delivery teams.
Data Engineer at NTT DATA responsible for transforming data into structured formats, designing ETL packages and data models using Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, and big data tools like Hadoop and Cassandra in a hybrid role in Hyderabad.
The Databricks Solution Architect will design and implement scalable, cloud-native big data platforms and lakehouse architectures for clients. This role involves leading data modernization initiatives, collaborating with stakeholders, and providing technical leadership in data engineering and AI integration.
The Databricks Data Engineer will design and implement scalable ETL/ELT pipelines and Lakehouse architectures to support advanced analytics and AI use cases for clients. This role requires deep expertise in the Databricks ecosystem, including Spark, Delta Lake, and Unity Catalog, to build robust, secure, and governed data solutions.
The Snowflake Data Engineer will design, build, and maintain secure, high-performing data pipelines and architectures for clients using Snowflake and cloud-native platforms. This role involves collaborating with cross-functional teams to deliver scalable data solutions and advanced analytics capabilities.
Design and implement Snowflake-based cloud data platforms for enterprises, enabling scalable, secure data solutions and AI-driven insights while guiding clients through data modernization.
The Databricks Solution Architect designs and delivers scalable, cloud-native big data platforms and lakehouse architectures for enterprise clients. This role involves strategic consulting, leading data modernization initiatives, and integrating AI/ML capabilities using technologies like Databricks, Spark, and Kafka.
The Databricks Data Engineer will design and implement scalable data pipelines and Lakehouse architectures to support advanced analytics and AI use cases for clients. This role involves working with the Databricks platform, cloud-native environments, and ETL/ELT workflows to deliver robust, secure data solutions.
The Snowflake Data Engineer will design, build, and maintain secure, high-performing data pipelines and ecosystems for clients. The role involves collaborating with cross-functional teams to implement ETL/ELT processes and advanced analytics solutions using Snowflake and cloud-native technologies.
Design and implement Snowflake-based cloud data platforms for enterprise clients, guiding data modernization and enabling advanced analytics using Snowflake, SQL, ETL/ELT, and cloud ecosystems.
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