Snowflake Developer_ Director_ Software Enginee...
@ Morgan Stanley

Bengaluru, Karnataka, India
On Site
Full Time
Posted 4 days ago

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Snowflake Developer - Director, Software Engineering

We’re seeking a hands-on Snowflake Developer who is a strong technologist with a passion for high-quality engineering and problem solving. In this director-level role, you will deliver robust ETL pipelines, scalable data warehouses, and participate in cloud data engineering initiatives.

What You’ll Do:

  • Develop and maintain ETL pipelines and data warehouse solutions using Snowflake, Talend Enterprise/Informatica PowerCenter, and Python.
  • Design and implement cloud-native data solutions ensuring performance and cost-efficiency.
  • Continuously optimize ETL processes and data pipelines for performance and reliability.
  • Drive Agile methodologies and DevOps best practices for accelerated delivery.
  • Collaborate with business, analytics, and IT stakeholders to meet data requirements.
  • Identify automation opportunities and implement innovative solutions.

What You’ll Bring:

At least 5+ years of experience in data engineering, data warehousing, and ETL development with advanced proficiency in Snowflake, Talend/Informatica, and Python. You must have a strong background in designing high-performance data pipelines, delivering complex projects, and a solid understanding of Agile and DevOps practices.

Our Culture at Morgan Stanley:

Morgan Stanley has been a leader in financial services since 1935, serving governments, corporations, institutions, and individuals worldwide. We are committed to diversity, inclusion, and supporting our 80,000+ employees with comprehensive benefits and opportunities for growth. Learn more about our global offices on our website.

How to Get Hired at Morgan Stanley

🎯 Tips for Getting Hired

  • Custom resume: Highlight ETL, Snowflake, and Python skills.
  • Research Morgan Stanley: Study culture, values, and recent news.
  • Practice technical: Review cloud and data engineering challenges.
  • Prepare questions: Ask detailed questions during interviews.

📝 Interview Preparation Advice

Technical Preparation

Review ETL and Snowflake core concepts.
Practice Python coding and data structure problems.
Study cloud-native design and pipeline optimization.
Understand Agile and DevOps for data projects.

Behavioral Questions

Describe past team collaboration experiences.
Explain handling project challenges effectively.
Discuss communication with diverse stakeholders.
Share examples of problem-solving under pressure.

Frequently Asked Questions