{"id":2926731,"url":"https://alion.io/job/ntt-data-engineer-4","title":"Data Engineer","company":{"id":121,"name":"NTT","domain":"global.ntt","url":"https://alion.io/company/ntt","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":240,"ghost_share":0,"stale_share":0.979,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":54000,"period":"year","method":"role_country_seniority_unknown","sample_n":166},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Cassandra","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"MS SQL","optional":false},{"name":"MySQL","optional":false},{"name":"Oracle","optional":false},{"name":"Perl","optional":false},{"name":"Python","optional":false},{"name":"SAP BTP","optional":false},{"name":"SQL","optional":false},{"name":"ABAP","optional":true},{"name":"C#","optional":true}],"status":"live","first_seen_at":"2025-10-13T00:00:00Z","employer_posted_date":"2025-10-13","last_verified_at":"2026-10-22T03:06:46Z","board_verified":false,"closed_at":null,"days_open":377,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":376},"description":"Make an impact with NTT DATA\nJoin 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 society. Our workplace embraces diversity and inclusion - it’s a place where you can grow, belong and thrive.\nYour day at NTT DATA\nThe Data Engineer is a seasoned subject matter expert, responsible for the transformation of data into a structured format that can be easily analyzed in a query or report.\nThis role is responsible for developing structured data sets that can be reused or complimented by other data sets and reports.\nThis role analyzes the data sources and data structure and designs and develops data models to support the analytics requirements of the business which includes management / operational / predictive / data science capabilities.\nKey responsibilities:\nCreates data models in a structured data format to enable analysis thereof.\nDesigns and develops scalable extract, transformation and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources,\nParticipates in the transformation of object and data models into appropriate database schemas within design constraints.\nInterprets installation standards to meet project needs and produce database components as required.\nCreates test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations.\nAccountable for running data migrations across different databases and applications, for example MS Dynamics, Oracle, SAP and other ERP systems.\nWorks across multiple IT and business teams to define and implement data table structures and data models based on requirements.\nAccountable for analysis, and development of ETL and migration documentation.\nCollaborates with various stakeholders to evaluate potential data requirements.\nAccountable for the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives.\nCollaborates with various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models.\nTo thrive in this role, you need to have:\nSeasoned knowledge of the definition and management of scoping requirements, definition and prioritization activities.\nSeasoned understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models.\nSeasoned expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP.\nSeasoned understanding of data architecture landscape between physical and logical data models\nAnalytical mindset with excellent business acumen skills.\nProblem-solving aptitude with the ability to communicate effectively, both written and verbal.\nAbility to build effective relationships at all levels within the organization.\nSeasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.).\nAcademic qualifications and certifications:\nBachelor's degree or equivalent in computer science, software engineering, information technology, or a related field.\nRelevant certifications preferred such as SAP, Microsoft Azure etc.\nCertified Data Engineer, Certified Professional certification preferred.\nRequired experience:\nSeasoned experience as a data engineering, data mining within a fast-paced environment.\nProficient in building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale.\nSeasoned experience with architecture and design of secure, highly available and scalable systems.\nSeasoned proficiency in automation, scripting and proven examples of successful implementation.\nSeasoned proficiency using scripting language (Perl, bash, Shell Scripting, Python, etc.).\nSeasoned experience with big data tools like Hadoop, Cassandra, Storm etc.\nSeasoned experience in any applicable language, preferably .NET.\nSeasoned proficiency in working with SAP, SQL, MySQL databases and Microsoft SQL.\nSeasoned experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots.\nWorkplace type:\nHybrid WorkingAbout NTT DATA\nNTT 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. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. 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 and headquartered in Tokyo.\nEqual Opportunity Employer\nNTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.\nThird parties fraudulently posing as NTT DATA recruiters\nNTT DATA recruiters will never ask job seekersorcandidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters-whether in writing or by phone-in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come froman @nttdata.com email address. 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