IBIBM
Data Engineer-Data Platforms-SnowFlake
Pune Posted 6 Oct 2026
FULL TIME
Compliance
Data Modeling
Data Warehousing
Caching
Cloud Computing
+1 more
Job Description
Introduction
A career at IBM Consulting revolves around fostering enduring client partnerships and engaging in collaborative efforts on a global scale. You will collaborate with top-tier companies across various sectors, assisting them in navigating their hybrid cloud and AI initiatives. With the backing of our strategic alliances, comprehensive IBM technology, and Red Hat, you will be equipped with the resources necessary to instigate significant transformations and amplify client outcomes. At IBM Consulting, a spirit of inquiry drives achievement. You will be encouraged to question conventional wisdom, investigate innovative concepts, and develop forward-thinking solutions that yield substantial results. Our culture emphasizes growth and empathy, prioritizing your long-term professional development while recognizing your distinct talents and experiences.
Your Role And Responsibilities
As a Data Engineer with a focus on Data Platforms-Snowflake, you will be pivotal in constructing and refining Snowflake platforms tailored for clients' Data and AI applications. This position necessitates the execution of Data and AI use cases on Snowflake platforms, demanding strong technical acumen and teamwork.
Your Primary Responsibilities Will Include
Master's Degree
Required Technical And Professional Expertise
A career at IBM Consulting revolves around fostering enduring client partnerships and engaging in collaborative efforts on a global scale. You will collaborate with top-tier companies across various sectors, assisting them in navigating their hybrid cloud and AI initiatives. With the backing of our strategic alliances, comprehensive IBM technology, and Red Hat, you will be equipped with the resources necessary to instigate significant transformations and amplify client outcomes. At IBM Consulting, a spirit of inquiry drives achievement. You will be encouraged to question conventional wisdom, investigate innovative concepts, and develop forward-thinking solutions that yield substantial results. Our culture emphasizes growth and empathy, prioritizing your long-term professional development while recognizing your distinct talents and experiences.
Your Role And Responsibilities
As a Data Engineer with a focus on Data Platforms-Snowflake, you will be pivotal in constructing and refining Snowflake platforms tailored for clients' Data and AI applications. This position necessitates the execution of Data and AI use cases on Snowflake platforms, demanding strong technical acumen and teamwork.
Your Primary Responsibilities Will Include
- Implement Data and AI use cases: Execute Data and AI use cases on Snowflake platforms, ensuring flawless integration and peak performance.
- Enhance Snowflake platform: Develop and improve the Snowflake platform to align with clients' Data and AI needs, applying data engineering principles and industry best practices.
- Leverage Cloud capabilities: Utilize Cloud functionalities to facilitate Snowflake platform development, ensuring both scalability and reliability.
Master's Degree
Required Technical And Professional Expertise
- Exposure to Snowflake platforms: Familiarity with the architecture, features, and implementation best practices of Snowflake for Data and AI use cases.
- Experience with Data Engineering: Understanding of data engineering fundamentals, including data modeling, data warehousing, and ETL methodologies.
- Cloud computing skills: Knowledge of Cloud capabilities, such as scalability, reliability, and security, to aid in Snowflake platform development.
- Data and AI use case implementation: Proven experience in executing Data and AI use cases on cloud platforms, ensuring smooth integration and optimal performance.
- Data platform development: Familiarity with constructing and enhancing data platforms to fulfill business needs, utilizing data engineering principles and best practices.
- Cloud Security Knowledge: Awareness of Cloud security measures, including data encryption, access controls, and compliance, to guarantee secure development of Snowflake platforms.
- Advanced Data Modeling: Experienced in sophisticated data modeling techniques, including data warehousing and ETL processes, to support intricate Data and AI use cases.
- Scalability Optimization: Knowledge of scalability optimization strategies, such as data partitioning and caching, to ensure high-performance operation of Snowflake platforms.