IBIBM
Data Engineer-Data Platforms-SnowFlake
Bangalore Posted 7 Oct 2026
FULL TIME
snowflake
data engineering
Cloud Computing
Cloud Security
Job Description
Overview
Embarking on a career with IBM Consulting means establishing enduring client partnerships and engaging in collaborative efforts on a global scale. You will partner with prominent organizations across various sectors, assisting them in navigating their hybrid cloud and AI transformations. Backed by our strategic alliances, advanced IBM technology, and Red Hat, you will possess the resources necessary to instigate substantial change and enhance client outcomes. At IBM Consulting, a spirit of inquiry drives achievement. You will be motivated to question the status quo, explore innovative concepts, and devise solutions that yield tangible outcomes. Our environment fosters growth and empathy, emphasizing your long-term professional advancement while appreciating your distinctive skills and experiences.
Your Responsibilities
As a Data Engineer with a focus on Data Platforms-SnowFlake, you will be instrumental in the development and refinement of Snowflake platforms tailored for client Data and AI applications. This position necessitates robust technical skills and collaborative efforts.
Your Core Duties Will Include
Master's Degree
Essential Technical and Professional Qualifications
Embarking on a career with IBM Consulting means establishing enduring client partnerships and engaging in collaborative efforts on a global scale. You will partner with prominent organizations across various sectors, assisting them in navigating their hybrid cloud and AI transformations. Backed by our strategic alliances, advanced IBM technology, and Red Hat, you will possess the resources necessary to instigate substantial change and enhance client outcomes. At IBM Consulting, a spirit of inquiry drives achievement. You will be motivated to question the status quo, explore innovative concepts, and devise solutions that yield tangible outcomes. Our environment fosters growth and empathy, emphasizing your long-term professional advancement while appreciating your distinctive skills and experiences.
Your Responsibilities
As a Data Engineer with a focus on Data Platforms-SnowFlake, you will be instrumental in the development and refinement of Snowflake platforms tailored for client Data and AI applications. This position necessitates robust technical skills and collaborative efforts.
Your Core Duties Will Include
- Execute Data and AI use cases: Implement Data and AI use cases on Snowflake platforms, guaranteeing seamless integration and peak performance.
- Upgrade Snowflake platform: Construct and enhance the Snowflake platform to fulfill client Data and AI needs, employing data engineering methodologies and industry best practices.
- Utilize Cloud functionalities: Harness Cloud capabilities to facilitate Snowflake platform development, ensuring both scalability and reliability.
Master's Degree
Essential Technical and Professional Qualifications
- Familiarity with Snowflake platforms: Understanding of Snowflake architecture, functionalities, and best practices for executing Data and AI use cases.
- Data Engineering experience: Proficient in data engineering concepts, including data modeling, data warehousing, and ETL processes.
- Cloud computing expertise: Knowledge of Cloud capabilities, focusing on scalability, reliability, and security, to aid in Snowflake platform development.
- Implementation of Data and AI use cases: Proven experience in executing Data and AI use cases on cloud platforms, ensuring smooth integration and optimal performance.
- Development of data platforms: Experience in constructing and refining data platforms to satisfy business needs by applying data engineering principles and best practices.
- Cloud Security Acumen: Familiarity with Cloud security aspects, including data encryption, access controls, and compliance, to guarantee secure development of the Snowflake platform.
- Advanced Data Modeling Skills: Background in advanced data modeling techniques, encompassing data warehousing and ETL processes, to support intricate Data and AI use cases.
- Scalability Enhancement: Knowledge of techniques for scalability optimization, such as data partitioning and caching, to ensure high-performance operation of the Snowflake platform.