Data Services Consultant Associate: Hybrid Cloud & AI

IBM; Boston (MA); Hybrid; USD 49,000 - 69,000; Full time

Job summary

IBM Consulting is actively seeking a Data Services Consultant Associate to collaborate with clients on real-world data challenges and design customized systems. You’ll translate requirements into robust data models, pipelines and automated processes using SQL and Python in a cloud-enabled environment.

Based in Canada with a hybrid work arrangement, you will engage with data engineers and analysts across multiple industries, contributing to data quality, reliability, and performance while growing

Qualifications

• Experience with cloud platforms (AWS, Azure, Google Cloud, IBM Cloud)
• Knowledge of AI/ML concepts in cloud or on-premises environments
• Understanding of DevSecOps and Agile methods
• Python and SQL skills for data tasks
• APIs, containers, and version control experience
• CI/CD tools such as Jenkins

Responsibilities

• Co-create solutions using best-practice technologies to translate system requirements into designed data solutions
• Support data-focused components of client solutions, including data modeling and pipeline development
• Write SQL queries and use Python to automate data processing tasks
• Collaborate with data engineers and analysts to improve data quality, reliability and performance
• Exposure to cloud data platforms and ETL/ELT workflows

Skills

Cloud platforms

AI/ML concepts

DevSecOps

Python

SQL

APIs

Containers

Git

CI/CD

Education

Bachelor's degree

Tools

Jenkins

JIRA

Confluence

Snowflake/Databricks

Job description

IBM Consulting is actively seeking a Data Services Consultant Associate to collaborate with clients on real-world data challenges and design customized systems. You’ll translate requirements into robust data models, pipelines and automated processes using SQL and Python in a cloud-enabled environment.

Based in Canada with a hybrid work arrangement, you will engage with data engineers and analysts across multiple industries, contributing to data quality, reliability, and performance while growing