Data Engineer - Data Platforms
Mumbai, Maharashtra, India · Tam zamanlı
Başvuran ilk kişi siz olun
- Deneyim
- 3-5 yaş
- Maaş
- —
- Açılışlar
- 1
- Yayınlandı
- 8 saat önce
- Çalışma modu
- Ofiste
- Eğitim
- Any Graduate
- Uygunluk
- Any graduate with relevant experience and skills can apply.
- Sürdürmek
- Başvuru yapılması gerekmektedir.
Çalışacağınız yer
İş tanımı
About the Company
IBM has been active in India since 1992, offering solutions and services across diverse sectors such as finance, healthcare, government, automotive, telecom, and education. With a presence in over 200 cities, IBM India stands as a leading IT company, continually evolving to match global market demands. Known for its inclusive employment policies, IBM India holds numerous awards that recognize its excellence as an employer.
Role Overview
The Data Engineer focusing on Data Platforms will be responsible for developing applications utilizing Big Data technologies, including API development. This role demands a solid background in conventional application development paired with familiarity in analytics libraries, open-source Natural Language Processing (NLP), and statistical as well as big data computing libraries.
Key Responsibilities
- Design and build applications leveraging Big Data technologies with an emphasis on API development and traditional software development best practices.
- Create and troubleshoot complex code to ensure delivery of high-quality, reliable solutions.
- Apply expertise in open-source NLP tools and statistical computing libraries to strengthen data platform capabilities.
Educational Requirements
- Mandatory: Bachelor's Degree
- Preferred: Master's Degree
Required Skills and Experience
- Hands-on experience in traditional application development frameworks with strong software principles.
- Proficiency in Big Data technologies including data processing frameworks and API creation.
- Knowledge of analytics libraries and their integration within data platforms.
- Experience with open-source NLP tools and techniques for data interpretation and processing.
- Familiarity with statistical and big data computing libraries to enable advanced data processing tasks.
Preferred Qualifications
- Understanding of advanced analytics such as data modeling and machine learning concepts.
- Experience working with cloud-based big data infrastructures, including data warehousing and processing solutions.
- Additional programming languages knowledge, for example Python or R, to support Big Data application development.
Experience
3 to 5 years of relevant professional experience.
Eligibility
Open to any graduate meeting the above skill and experience criteria.