Data Engineer

IBM

Remote

Introduction

At IBM Software, we transform client challenges into solutions. Building the world’s leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You’ll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape. Here, you’ll have the tools and opportunities to advance your career while creating software that changes the world.

Your Role And Responsibilities

Design, construct, and deploy highly efficient and reliable data pipelines that seamlessly

transfer data across various platforms, including Data Warehouses and real-time

systems.

Develop deep expertise in these data pipelines and manage their Service Level

Agreements (SLAs) to ensure optimal performance.

Collaborate with Data Analysts, Data Scientists and business stakeholders to create

internal data products aimed at boosting operational efficiencies across the organization.

Contribute to the upkeep of cloud Infrastructure i.e managing IAM permissions, creation

of Service Accounts and availing various GCP services to name a few

Ensure data quality, integrity and performance across pipelines

Preferred Education

Master's Degree

Required Technical And Professional Expertise

2 to 4 years of experience in Data Engineering including internship with a technology

company.

Bachelors or Masters degree or equivalent experience in Information Technology or

Computer Science.

High level understanding of data models and ETL/ELT fundamentals.
Structured thinking, and know how to slice and dice the data to investigate issues.
Communicate clearly, especially to technical audiences effectively, both verbally and in

writing.

Hands on experience in working with Orchestration tool like Airflow
Good to have experience in real time pipelines and event driven architecture
Have a hunger for learning and adopting to new technologies