Data Engineer 2026- Data Platforms

Job SummaryIBM is a leading consulting firm that collaborates with clients globally to enhance their hybrid cloud and AI journey. As an Associate Consultant, you will develop analytical and problem-solving skills while helping clients transform their business processes through data analysis, visualization, and engineering. Responsibilities• Collect and analyze data to identify trends, providing clients with actionable insights to enhance marketing, operational, and business practices. • Create visually compelling and user-friendly data visualizations, dashboards, and reports to effectively communicate findings to both technical and non-technical stakeholders. • Work with ETL/ELT ingestion pipelines • Ensure the integrity, accuracy, and reliability of data through rigorous data cleaning, validation, and preprocessing procedures. • Work with project team to prioritize and translate Client requirements and define current and future operational scenarios (processes, models, use cases, plans and solutions). • Work collaboratively with Client and the Architect to ensure proper translation of business requirements to solution requirements. • Present analytical findings and recommendations clearly and concisely, demonstrating the value of data-driven decision-making to clients. • Work with cross-functional teams to tackle complex business problems, utilizing your data expertise to drive innovative solutions. • Stay informed about the latest trends and advancements in the modern data stack, bringing new ideas and best practices to the team. • Works with clients to advocate business process transformation, analyzes the application portfolio across ecosystem to understand the process optimization and automation opportunity. • Strong communication skills and ability to articulate thoughts clearly and concisely. • Problem-solving mindset with the ability to ask questions, seek to understand, and recommend solutions. • Curious and eager to learn new skills, with the ability to adapt to changes easily. • Planning capabilities with an understanding of basic project management skills and Agile methodology. • Strong teamwork orientation, contributing positively to a collaborative environment. QualificationsRequired• Experience: ETL/ELT projects, data warehouse design, analytics pipelines, capstone data engineering. • Skills/Tech: SQL, Python, dbt, Snowflake, BigQuery, Airflow, data modeling, CI/CD basics. • Skills include a range of package workflow tool experience including on one of the following IBM BAW, Lombardi, iLog, Appian, Pega etc. • Data Engineer skills- pipeline design, infrastructure, vector databases, deployment, and scalability. • Other: strong analytical mindset, data governance, or data quality exposure. • Willingness to travel up to 100%, based on project requirements. Preferred• Bachelors degree in a related field (Computer Science, Data Science, Statistics, Math, MIS, Engineering). • Minimum of 1 year of practical project experience or relevant training. • Certifications: SnowPro Core, Google Associate Cloud Engineer or Data Engineer coursework. • GenAI literacy - prompt engineering, RAG, fine-tuning, and evaluation of generative models. CompanyIBM is an IT technology and consulting firm providing computer hardware, software, infrastructure, and hosting services. Founded in 1911, the company is headquartered in Armonk, USA, with a team of 10001+ employees. The company is currently Late Stage.