Lead Data AI Engineer_Vice President_Data & Analytics Engineering
Morgan Stanley27 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Develop and maintain data pipelines and ETL processes.
- Work with structured and unstructured data to ensure accessibility and usability.
- Optimize data systems for performance and scalability.
- Implement data quality and data governance standards.
- Collaborate with technology and business stakeholders to translate data needs into technical solutions and provide data-driven insights.
- Create and maintain technical documentation and training materials.
- Participate in code reviews and improve development processes.
- Share knowledge and presentations with the broader data architecture community.
Requirements
- At least 10 years of practitioner experience in data engineering or a related field.
- A graduate degree in Computer Science, Information System, or an equivalent field.
- Proficiency in Python.
- Experience with Apache Spark or Hadoop.
- Knowledge of SQL and NoSQL database systems.
- Experience with Snowflake or Databricks.
- Experience working on GenAI projects; SF Cortex or DBX Genie experience is a bonus.
- Familiarity with AWS, Azure, and their data services.
- Understanding of data modeling, data architecture, and data warehousing concepts and technologies.
- Experience with message queues and streaming platforms such as Kafka.
- Experience with version control systems such as Git.
- Experience using Jupyter notebooks for data exploration, analysis, and visualization.
- Familiarity with Tableau or Power BI is preferred.
- Familiarity with data governance and security practices such as data access control and data masking is preferred.
- Familiarity with Collibra and metadata management tools is preferred.
- Familiarity with CI/CD pipelines and DevOps practices is preferred.
- Strong communication, collaboration, independent working, and geographically distributed-team skills.
Benefits
- Morgan Stanley offers comprehensive employee benefits and perks supporting employees and their families.
- The company provides opportunities for career mobility across the business.
- The company supports diversity, inclusion, and equal employment opportunity.
Tech Stack
Categories
Data Engineering
About Morgan Stanley
Morgan Stanley is a global financial services firm that provides investment banking, sales and trading, wealth management, and investment management to corporations, governments, institutions, and individuals. It earns fees, commissions, and interest and trading income across advisory, underwriting, brokerage, and asset management businesses. Founded in 1935 and headquartered in New York, the public company operates in more than 40 countries through thousands of offices, including a large U.S. wealth management franchise.