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Deskripsi Pekerjaan
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 society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
Your day at NTT DATA
The 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.
This role is responsible for developing structured data sets that can be reused or complimented by other data sets and reports.
This 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.
Key responsibilities:
- Creates data models in a structured data format to enable analysis thereof.
- Designs 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,
- Participates in the transformation of object and data models into appropriate database schemas within design constraints.
- Interprets installation standards to meet project needs and produce database components as required.
- Creates test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations.
- Accountable for running data migrations across different databases and applications, for example MS Dynamics, Oracle, SAP and other ERP systems.
- Works across multiple IT and business teams to define and implement data table structures and data models based on requirements.
- Accountable for analysis, and development of ETL and migration documentation.
- Collaborates with various stakeholders to evaluate potential data requirements.
- Accountable for the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives.
- Collaborates with various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models.
- Seasoned knowledge of the definition and management of scoping requirements, definition and prioritization activities.
- Seasoned understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models.
- Seasoned expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP.
- Seasoned understanding of data architecture landscape between physical and logical data models
- Analytical mindset with excellent business acumen skills.
- Problem-solving aptitude with the ability to communicate effectively, both written and verbal.
- Ability to build effective relationships at all levels within the organization.
- Seasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.).
- Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field.
- Relevant certifications preferred such as SAP, Microsoft Azure etc.
- Certified Data Engineer, Certified Professional certification preferred.
- Seasoned experience as a data engineering, data mining within a fast-paced environment.
- Proficient in building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale.
- Seasoned experience with architecture and design of secure, highly available and scalable systems.
- Seasoned proficiency in automation, scripting and proven examples of successful implementation.
- Seasoned proficiency using scripting language (Perl, bash, Shell Scripting, Python, etc.).
- Seasoned experience with big data tools like Hadoop, Cassandra, Storm etc.
- Seasoned experience in any applicable language, preferably .NET.
- Seasoned proficiency in working with SAP, SQL, MySQL databases and Microsoft SQL.
- Seasoned experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots.
About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
Equal Opportunity Employer
NTT 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.
Third parties fraudulently posing as NTT DATA recruiters
NTT DATA recruiters will never ask job seekers or candidates 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 from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.
Tentang Posisi Associate Data Engineer
Associate Data Engineer di NTT DATA, Inc. adalah peran penuh waktu pada level profesional yang berlokasi di Indonesia. Untuk persyaratan terlengkap, lihat bagian Deskripsi Pekerjaan di atas yang merupakan informasi resmi dari sumber lowongan.
Pekerjaan di kategori Teknologi Informasi umumnya menuntut kombinasi keterampilan teknis dan kemampuan komunikasi. Pelamar dengan portofolio yang terdokumentasi baik—baik berupa studi kasus, proyek nyata, atau sertifikasi yang relevan—biasanya memiliki nilai tambah saat seleksi.
Tips Melamar Associate Data Engineer di NTT DATA, Inc.
Berikut tips praktis dari Tim Editorial InfoLoker.id untuk meningkatkan peluang Anda dipanggil interview:
- Sesuaikan CV Anda dengan kata kunci yang muncul di deskripsi lowongan Associate Data Engineer di atas — sistem ATS umumnya mencocokkan istilah teknis maupun nama tools.
- Riset singkat tentang NTT DATA, Inc.: lihat produk, model bisnis, dan kabar terbaru perusahaan sebelum mengirim lamaran.
- Tulis surat lamaran yang menjelaskan mengapa Anda cocok untuk posisi Associate Data Engineer, bukan sekadar paragraf umum.
Sebagian besar perusahaan di Indonesia kini menggunakan sistem Applicant Tracking System (ATS). Pastikan CV Anda mudah dibaca mesin: format PDF teks (bukan hasil scan), tipografi sederhana, dan hindari layout dua kolom yang membingungkan parser. Pelajari panduan lengkapnya di artikel Cara Membuat CV ATS Friendly 2026.
Estimasi Gaji & Total Kompensasi
Lowongan ini tidak mencantumkan rentang gaji secara terbuka. Pada tahap interview, Anda berhak menanyakan total kompensasi yang mencakup gaji pokok, tunjangan tetap, tunjangan tidak tetap, BPJS, dan bonus kinerja.
Untuk benchmark, gunakan platform survei gaji terkurasi atau jaringan profesional Anda. Jangan berikan angka terlebih dahulu — minta perusahaan menyebutkan rentang yang dialokasikan untuk posisi Associate Data Engineer.
Persiapan Interview untuk Posisi Associate Data Engineer
Setelah CV lolos seleksi administrasi, biasanya kandidat akan diundang ke proses interview. Untuk posisi Associate Data Engineer, pelamar umumnya melewati beberapa tahap berikut:
- Screening HR: pengenalan singkat, motivasi melamar, ekspektasi gaji, dan ketersediaan mulai bekerja.
- Interview teknis / studi kasus: relevan untuk bidang teknologi informasi, dapat berupa soal teknis, presentasi portofolio, atau take-home assignment.
- Interview user / pengguna langsung: bertemu calon atasan untuk membahas cara kerja, ekspektasi, dan kecocokan budaya tim.
- Interview final: biasanya dengan manajemen senior atau founder untuk posisi tertentu.
Persiapkan jawaban dengan kerangka STAR (Situation, Task, Action, Result). Selengkapnya bisa Anda baca di 30 Pertanyaan Interview Kerja Tersulit & Cara Menjawabnya.
Waspada Penipuan Rekrutmen
Lowongan ini bersumber dari LinkedIn dan ditampilkan di InfoLoker.id sebagai bagian dari agregasi informasi publik. Sebelum memberikan data sensitif atau membayar biaya apa pun, perhatikan rambu-rambu berikut:
- Perusahaan resmi tidak pernah meminta biaya untuk seleksi, pelatihan, seragam, atau jaminan.
- Verifikasi alamat email rekruter — hindari komunikasi melalui akun pribadi WhatsApp/Telegram bila perusahaan memiliki domain email resmi.
- Cek konsistensi informasi lowongan dengan halaman karir resmi NTT DATA, Inc. bila tersedia.
Bila menemukan kejanggalan, laporkan ke report@infoloker.id. Tim kami menindaklanjuti laporan dalam SLA 3×24 jam kerja. Daftar tanda penipuan rekrutmen yang lebih lengkap dapat Anda pelajari di Ciri-ciri Lowongan Kerja Palsu.
Jelajahi Lowongan Serupa
Tidak cocok dengan posisi ini? Jelajahi rekomendasi lowongan lain yang relevan dengan profil pencarian Anda:
Pertanyaan yang Sering Ditanyakan
Bagaimana cara melamar lowongan Associate Data Engineer di NTT DATA, Inc.?
Klik tombol "Lamar Sekarang" di halaman ini untuk diarahkan ke halaman resmi sumber lowongan (LinkedIn). Anda dapat mengirim lamaran langsung melalui sistem aplikasi yang disediakan tanpa biaya apa pun.
Berapa kisaran gaji untuk posisi Associate Data Engineer?
Lowongan ini tidak mencantumkan rentang gaji. Anda dapat menanyakan ekspektasi gaji saat sesi interview dengan tim rekruter NTT DATA, Inc..
Apakah lowongan Associate Data Engineer ini masih dibuka?
Tanggal kedaluwarsa tidak dicantumkan oleh sumber. Disarankan Anda segera mengirim lamaran selagi posisi masih tersedia, atau memverifikasi status posisi pada halaman resmi LinkedIn.
Apakah InfoLoker.id memungut biaya pelamar?
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Informasi lowongan ini diambil dari LinkedIn. InfoLoker.id tidak bertanggung jawab atas kebenaran dan ketersediaan lowongan ini.
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