Data Engineer – Databricks & Agentic Automation | PySpark | SQL | GCP | BigQuery | Delta Lake l Remote/WFH

MSCI

Data Engineer – Databricks & Agentic Automation | PySpark | SQL | GCP | BigQuery | Delta Lake

Hi,

Please read this carefully to avoid delays or automatic rejection.

Please sign up through the LaunchPod link you received via email. Also check your Inbox, Spam, and Promotions folders for emails from AgileEngine.

⚠️ Hiring Process

1. Technical Assessment – Mandatory
2. Async Developer Video Interview
3. Recruiter Discussion
4. Technical Interview
5. Offer 🎉

📍 POSITION DETAILS

Role: Data Engineer – Databricks & Agentic Automation
Client: MSCI
Focus: Databricks + PySpark + SQL + GCP/BigQuery + Delta Lake + Agentic Automation

🚨 CRUCIAL REQUIREMENTS – MUST SELECT

• Strong hands-on Databricks experience
• Strong hands-on PySpark experience
• Advanced SQL and data-processing skills
• Hands-on GCP experience, particularly BigQuery
• Strong Delta Lake / Data Lakehouse experience
• Strong ETL/ELT and data pipeline development experience
• Experience designing scalable, production-grade data solutions
• Data quality, validation, monitoring, and exception handling
• Strong data troubleshooting and analytical skills
• Experience with testing, version control, deployment, and production support

➕ NICE TO HAVE

• AI / Agentic AI / AI Agent experience
• AI-driven data validation or troubleshooting
• Workflow automation and orchestration
• Reusable data engineering frameworks
• Productionizing AI-enabled solutions

⚠️ VERY IMPORTANT: Make sure ALL crucial skills listed above are selected in your LaunchPod application and clearly mentioned in your resume. Missing crucial skills may result in automatic rejection.

🚨 RESUME SHOULD HIGHLIGHT

• Databricks + PySpark
• Advanced SQL
• GCP + BigQuery
• Delta Lake / Lakehouse
• ETL/ELT & Data Pipelines
• Data Quality & Validation
• Performance Optimization
• Production Data Engineering
• Monitoring & Troubleshooting
• AI / Agentic AI / Workflow Automation, if applicable

📝 TECHNICAL ASSESSMENT

Platform: LaunchPod — Mandatory
Passing Score: 80%

Please attempt the assessment only when you have sufficient uninterrupted time and make sure you achieve at least 80% to proceed.

⚠️ IMPORTANT

Don't simply list Databricks, PySpark, SQL, GCP, BigQuery, Delta Lake or Agentic AI on your resume. Be prepared to explain your actual hands-on experience, specific contribution, architecture, challenges, and outcomes.

🔥 MOST IMPORTANT

Please select and mention ALL crucial skills in both your LaunchPod application and resume.

Databricks + PySpark + SQL + GCP/BigQuery + Delta Lake + ETL/ELT + Production Data Engineering

AI/Agentic AI experience is an added advantage, particularly where it has been applied to data validation, troubleshooting, or workflow automation.

📩 Please send me a quick update after completing each stage so I can help move your application forward.

All the best! 👍