Full-Time

Data Engineer Director Technology Administration Office

Confirmed live in the last 24 hours

Morgan Stanley

Morgan Stanley

10,001+ employees

Global financial services and investment management

No salary listed

Senior, Expert

Company Does Not Provide H1B Sponsorship

Mumbai, Maharashtra, India + 1 more

More locations: Bengaluru, Karnataka, India

The role is based in India, specifically in either Mumbai or Bengaluru.

Category
Data Engineering
Data & Analytics
Required Skills
RabbitMQ
Sybase
Python
Jupyter
Git
Apache Spark
SQL
Apache Kafka
Postgres
Pandas
NumPy
Oracle
Requirements
  • At least 6+ years' relevant experience would generally be expected to find the skills required for this role.
  • 6+ years of being a practitioner in data engineering or a related field.
  • Strong programming skills in Python, with experience in data manipulation and analysis libraries (e.g., Pandas, NumPy, Dask).
  • Proficiency in SQL and experience with relational databases (e.g., Sybase, DB2, Oracle, PostgreSQL, SQL Server).
  • Experience with data warehousing concepts and technologies (e.g., dimensional modeling, star schema, data vault modeling, Kimball methodology, Inmon methodology, data lake design).
  • Familiarity with ETL/ELT processes and tools (e.g., Informatica PowerCenter, IBM DataStage, Ab Initio) and open-source frameworks for data transformation (e.g., Apache Spark, Apache Airflow).
  • Experience with message queues and streaming platforms (e.g., Kafka, RabbitMQ).
  • Experience with version control systems (e.g., Git).
  • Experience using Jupyter notebooks for data exploration, analysis, and visualization.
  • Excellent communication and collaboration skills.
  • Ability to work independently and as part of a geographically distributed team.
Responsibilities
  • Design, develop, and maintain robust and scalable data pipelines to ingest, transform, and load data from various sources (e.g., APIs, databases, message queues, streaming platforms) into our technology metrics data lake.
  • Implement data quality checks, data validation rules, and monitoring to ensure data accuracy, completeness, and reliability. This includes implementing data lineage tracking.
  • Contribute significantly to the definition, development, and publication of key performance indicators (KPIs) specifically designed to measure and track improvements in Technology Architecture maturity. This includes working with stakeholders to define metrics related to architecture principles adherence, technology standardization, reduction of technical debt, and other relevant architectural goals.
  • Collaborate with stakeholders across technology and business units to understand their data needs related to architectural maturity, translate them into technical solutions, and provide data-driven insights.
  • Work closely within the Enterprise Architecture team on the definition and refinement of the overall data strategy for technology metrics, including data modeling and architecture, with a focus on supporting architectural maturity measurement.
  • Research and evaluate new data technologies and approaches (e.g., real-time data ingestion, data mesh architectures, self-service data platforms) to improve our data infrastructure and processes, particularly those related to architectural maturity assessment.
  • Proactively identify and address data-related challenges, including performance bottlenecks, data quality issues, and security vulnerabilities, that may impact the accurate measurement of architectural maturity.
  • Contribute to the documentation and knowledge sharing within the team, creating, and maintaining technical documentation and training materials.
  • Participate in code reviews and contribute to the improvement of development processes.
  • Contribute to the broader data architecture community through knowledge sharing, presentations, or open-source contributions (preferred, but not required).
Desired Qualifications
  • Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker).
  • Familiarity with data governance and security best practices (e.g., data access control, data masking).
  • Experience with large-scale data processing frameworks (e.g., Spark, Hadoop).
  • Experience with NoSQL databases (e.g., MongoDB).
  • Background in Finance IT or experience working in a large financial institution.
  • Experience with Agile methodologies.
  • Familiarity with data catalog and metadata management tools (e.g., Collibra).
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Experience with Snowflake.

Morgan Stanley provides a variety of financial services, including investment banking, wealth management, and investment management. The firm assists individuals, families, institutions, and governments in raising, managing, and distributing capital to meet their financial objectives. Its services are tailored to the specific needs of clients, utilizing a vast global network and expertise in the financial market. Revenue is generated through advisory fees, asset management fees, trading commissions, and interest income. Morgan Stanley stands out from competitors by emphasizing its core values, which include prioritizing clients, promoting diversity and inclusion, and engaging in community support.

Company Size

10,001+

Company Stage

IPO

Headquarters

New York City, New York

Founded

1935

Simplify Jobs

Simplify's Take

What believers are saying

  • Investment in AI and data-driven tech positions Morgan Stanley for future financial service trends.
  • Participation in the blue economy supports growth in renewable energy and sustainability sectors.
  • Strategic expansion in healthcare and insurance sectors taps into aging population needs.

What critics are saying

  • Increased competition from firms like Goldman Sachs and JPMorgan Chase in wealth management.
  • Rise of DeFi platforms threatens traditional financial services with alternative options.
  • Potential regulatory scrutiny could impact operations following recent banking scandals.

What makes Morgan Stanley unique

  • Morgan Stanley's global network offers tailored financial solutions to diverse client needs.
  • Commitment to core values strengthens client relationships and operational integrity.
  • Focus on sustainable investments aligns with growing ESG criteria demand.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Health Savings Account/Flexible Spending Account

Unlimited Paid Time Off

Paid Vacation

Paid Sick Leave

Paid Holidays

Hybrid Work Options

401(k) Retirement Plan

401(k) Company Match

Mental Health Support

Wellness Program

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