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IBM Ecosystem Data Scientist India, Karnataka, Bengaluru 185757844
24.06.2024
Your Role and Responsibilities
As a Data Scientists in the Ecosystem Engineering Blue Partner Lab team , you will support the design, creation, implementation and optimization of data solutions in collaboration with partner engineers and IBM Subject Matter Experts (SMEs). These solutions will drive increased value – for many of the biggest and most complex partner applications in Manufacturing, Energy and Utilities etc. You will work with a team of engineers with expertise in industry-leading data platforms and technologies to implement these solutions.
To succeed, you will become a trusted collaborator with developers and data scientists as we move partner technologies and offerings to IBM software solutions across multi-cloud platforms. In addition, you will have an opportunity to consult and provide guidance to partners as they integrate their products, services, and offerings to IBM software solutions across multi-cloud platforms.
Required Technical and Professional Expertise
- 4+ years experience in the area of data engineering (Python or similar)
- 1+ years of experience in Big Data technologies (Hadoop, Spark, MapReduce, Apache Airflow)
- 1+ years of experience in ETL, Data Lake and Data Warehousing (e.g. InfoSphere, Db2, Delta Lake, Databricks, Microsoft SQL Data Warehouse)
- 1+ years of experience in container storage and Software Defined Storage (SDS) on Kubernetes
- Experience in Data Security (e.g. TLS/SSL, Certificate and Key Management, encryption/decryption, TPM 2.0, TEE/TEP)
- Experience in multiple database management systems (e.g. Db2, Oracle, SQL Server, Postgres, MongoDB, Informix)
- Experience in Data and AI offerings on public clouds (AWS, Azure, Google, etc.)
- Understanding of different cloud storage offerings, RDBMS, Object Storage, Block Storage, File Storage, HDFS, etc.
- Understanding of data science open source technologies; including Python, Jupyter notebooks, and TensorFlow
- Ability to understand and learn new technologies quickly
- Must exhibit excellent written and verbal English communication skills
Skills
- Experience in IBM Cloud Pak for Data (CP4D) 3.5 or 4.0
- Experience in Enterprise Asset Management (EAM), e.g. Maximo, SAP, Infor, ABB Ability, Aveva, Oracle EAM
- Experience in Data Fabric and Data Virtualization
- Experience in Watson Knowledge Catalog (WKC), IBM Analytics Engine, Watson Studio
- Experience in REST APIs, OpenAPI Initiative, design, creation, and securing APIs (e.g. Apigee, Mulesoft, IBM API Connect, IBM DataPower)
- Experience in Data Storage Performance Tuning
- Big Data Certifications on Cloudera/Hortonworks/AWS/GCP/Azure
- Experience with deep learning models using Keras
- Experience using Kubernetes and Docker
- Experience with IBM software solutions across multi-cloud platforms
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