Job Description

Req ID: 303115NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are currently seeking a Data Engineer to join our team in Noida, Uttar Pradesh (IN-UP), India (IN).Job Duties: As a data engineer you will have a strong background in data engineering, an ability to interpret complex datasets, and the skills to provide actionable insights.- Works closely with the GenAI architect to design and implement automated data pipelines
- Analyzes and understands source data and prepares and manages data sets
- Supports CI/CD effortsExtract, transform, and load (ETL) data from various sources, ensuring data quality, integrity, and accuracy.xc2xb7 Perform data cleansing, validation, and preprocessing to prepare structured and unstructured data for analysis.xc2xb7 Develop and execute queries, scripts, and data manipulation tasks using SQL, Python, or other relevant tools.xc2xb7 Collaborate with Data Scientists and other analysts to support predictive modeling, machine learning, and statistical analysis.xc2xb7 Continuously monitor data quality and proactively identify anomalies or discrepancies, recommending corrective actions.Minimum Skills Required: 3 + years of proficiency in data analysis tools such as [Tools - e.g., Excel, SQL, R, Python].3+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.xc2xb7 2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions.Preferred Skills:xc2xb7 Strong proficiency in data analysis tools such as [Tools - e.g., Excel, SQL, R, Python].xc2xb7 Experience with cloud data platforms such as [Platforms - e.g., AWS Redshift, Google BigQuery, Azure Synapse].xc2xb7 Familiarity with ETL (Extract, Transform, Load) processes and tools.xc2xb7 Knowledge of machine learning techniques and tools.xc2xb7 Experience in a specific industry (e.g., financial services, healthcare, manufacturing) can be a plus.xc2xb7 Understanding of data governance and data privacy regulations.xc2xb7 Ability to query and manipulate databases and data warehouses.xc2xb7 Excellent analytical and problem-solving skills.xc2xb7 Strong communication skills with the ability to explain complex data insights to non-technical stakeholders.xc2xb7 Detail-oriented with a commitment to accuracy.About NTT DATANTT 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 atNTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click .

NTT Data