Consultant, Data Engineer

IBM is a leading technology company that invites individuals to join their innovative team. The Consultant Data Engineer will be responsible for designing and developing Snowflake Data Cloud solutions, constructing data ingestion pipelines, and ensuring optimal data delivery architecture across customer projects.

Responsibilities:

• Constructing data ingestion pipelines
• Establishing sound data architecture
• Implementing stringent data governance and security protocols
• Collaborating closely with database architects, data analysts, and data scientists
• Ensuring a consistent and optimal data delivery architecture across ongoing customer projects

Requirements:

• Bachelor's degree in engineering, computer science or equivalent area
• 3+yrs in related technical roles with experience in data management, database development, ETL, and/or data prep domains
• Experience developing data warehouses
• Experience building ETL / ELT ingestion pipelines
• Proficiency in using cloud platform services for data engineering tasks, including managed database services (Snowflake and its pros and cons vs Redshift, BigQuery etc) and data processing services (AWS Glue, Azure Data Factory, Google Dataflow)
• Skills in designing and implementing scalable and cost-effective solutions using cloud services, with an understanding of best practices for security and compliance
• Knowledge of how to manipulate, process and extract value from large disconnected datasets
• SQL and Python scripting experience require, Scala and Javascript is a plus
• Cloud experience (AWS, Azure or GCP) is a plus
• Knowledge of any of the following tools is also a plus: Snowflake, Matillion/Fivetran or DBT
• Strong interpersonal skills including assertiveness and ability to build strong client relationships
• Strong project management and organizational skills
• Ability to support and work with cross-functional and agile teams in a dynamic environment
• Advanced English required
• Exposure to integrating cloud computing concepts and technologies with Snowflake platforms, enhancing data and AI use case implementation
• Experience working with data engineering principles and practices to deliver high-quality solutions on Snowflake platforms, leveraging expertise in Snowflake and cloud computing
• Experience applying technical expertise to optimize solutions on Snowflake platforms, ensuring seamless integration and optimal performance for data and AI use cases
• Familiarity with leveraging AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) to accelerate coding, debugging, and solution design within data engineering workflows