Data Engineer (ML and Cloud)

About the Role

Key Responsibilities

• Should be able to interact and coordinate well with other developers / teams to resolve operational issues.
• Should be self-motivated and a fast learner to ramp up quickly with a fair amount of help from team members.
• Must be able to estimate development tasks with accuracy and deliver on time with high quality while following coding guidelines and best practices.
• Identify systemic operational issues and resolve them.
• Explore and create POC of new technologies / frameworks.
• Owns success, takes responsibility for successful delivery of tasks from development to production.
• Should have significant experience working directly with Business users in problem solving.
• Ability to work collaboratively across the IT organization (infrastructure/test/back office groups).
• Ability to pick up Gartner domain knowledge quickly.

Requirements

• 3+ years of post-college experience in data engineering, API development or related fields.
• Demonstrated experience in data engineering, data science, or machine learning.
• Experience working with data platforms - building and maintaining ETL flows and data stores for ML and reporting applications.
• Skills to transform data, prepare it for analysis, and analyze it - including structured and unstructured data.
• Demonstrated experience with cloud platforms (AWS, Azure, GCP, etc.).
• Experience with languages such as Python, Java, SQL.
• Experience with tools such as Apache Spark, Databricks, AWS EMR.
• Experience with Kanban or Agile Scrum development.
• Experience with REST API development.
• Experience with collaboration tools such as Git, Jenkins, Jira, Confluence.
• Bachelor's degree or foreign equivalent degree in Computer Science or a related field required.

Nice to Have

• Experience with performance tuning APIs and batch jobs.
• Experience with DevOps frameworks and tools like terraform.
• Experience / fair understanding of web applications development frameworks and tools.
• Experience with Streaming and related tools like Kafka or Kinesis.

Qualifications

• Bachelor's degree or foreign equivalent degree in Computer Science or a related field.

Benefits & Perks

• Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.
• In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.
• A reasonable estimate of the base salary range for this role is 74,000 USD - 113,000 USD.
• Employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan.
• Market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.