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 also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is 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. Data engineers build and test scalable Big Data ecosystems for the businesses and help build data systems that are stable and highly optimized. Data engineers also update the existing systems with newer or upgraded versions of the current technologies to improve the efficiency of the databases, data storage layers and process the data optimized workflows. Data Engineers are responsible to • Analyse and understand data sources and APIs • Design and develop methods to connect and collect data from different data sources • Work closely with data scientists to ensure the source data is aggregated and cleansed  • Work with product managers to understand the business objectives • Work with cloud and data architects to define robust architecture in cloud setup pipelines and workflows • Work with DevOps to build automated data pipelines Required Capabilities: Expertise in all phases of data engineering from initial data analysis through data extraction, cleansing, transformation of data Experience in building diverse data engineering activities on Azure Data platform. Build & Deliver Data pipeline connecting various enterprise data sources both RDBMS, Design and development of data extraction, data ingestion, data quality rules implementation  Scripting using programming language  Clean and process the data for Machine Learning consumption, NoSQL & APIs. Strong working experience with Azure Data Factory Pipelines and Azure services: Azure Data Lake Gen 2, Data factory, Data Flows, and Synapse (Azure SQL DW) Must have experience on Azure Databricks. Good hands-on skills working with Python, PySpark, and SparkSQL Experience with Power BI is a plus. Must have worked on loading and processing data from various sources Experience working in SCRUM methodology Expert use of SQL and experience with relational and no SQL databases 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 also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is 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. NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.