You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A Data Engineer specializes in designing, developing, and integrating data management systems, particularly data warehouses using tools like Teradata, Snowflake and analytics solutions.
They are proficient in creating complex application components and integrating software packages, programs, and reusable objects across various platforms.
This role requires strong analytical and problem-solving skills to ensure the efficient and effective management of large-scale data systems.
We are seeking a highly skilled Data Engineer with expertise in DBT, Snowflake, and Data Warehouse (DW) technologies to join our team.
In this role, you will be responsible for designing, building, and optimizing data pipelines, ensuring efficient data processing and analytics.
- Hands-on expertise in Snowflake for cloud-based data warehousing.
- Solid understanding of data warehousing concepts, ETL/ELT processes, and best practices.
- Hands-on experience with DBT and a solid understanding of its core concepts.
- Proficiency in SQL and data querying for efficient data manipulation.
- Experience with cloud platforms (AWS, Azure, or GCP) is a plus.
- Excellent problem-solving skills and ability to work collaboratively in a fast-paced environment.
Primary
- DBT
- Snowflake
- DW skills
Secondary
- Automate(job scheduling), Attinuity/fivetran(Replication), Data World