Data Engineer - Associate

Job Number:

3182081

DESCRIPTION

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.

As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

Technology

Technology works as a strategic partner with Morgan Stanley business units and the world's leading technology companies to redefine how we do business in ever more global, complex, and dynamic financial markets. Morgan Stanley's sizeable investment in technology results in quantitative trading systems, cutting-edge modeling and simulation software, comprehensive risk and security systems, and robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools. Our insights, our applications and infrastructure give a competitive edge to clients' businesses—and to our own.

Position Overview:

Candidate will work with the Machine Learning & Advanced Analytics team, based out of New York and Bangalore, working on various deliveries. This candidate will be reporting to the Analytics lead in New York and work in collaboration with rest of the team in India & NY. Candidate will be working hands-on on analytical projects with big data development and be responsible for project delivery, execution and support. Candidate should be able to work in a dynamic environment with limited or no supervision and should be able to motivate junior team members. Should be comfortable and manage time working with global team on multiple initiatives. Candidate will be able to extract, explore, mine and experiment with data to answer critical business problems. While uncovering insights and identifying patterns are necessary, candidate is expected to have strong programming skills in Hadoop, Hive/Pig, Spark/MLlib, SQL and ETL techniques.

QUALIFICATIONS

Skill Set:

2-6 years of Experience with Data Analytics. Experience in Banking domain is advantageous

Understanding of Data Analysis - Skilled in uncovering insights and identifying patterns

Hands on experience in Data Analysis using SQL/Python/Spark.

Good understanding of Statistics.

Must have strong SQL understanding

Good understanding of handling large data volumes in distributed systems

Strong command over Big Data technologies – Hadoop, Hive, Impala

Good understanding of Linux-based Environment

Ability to work in fast paced and dynamic environment.

Excellent Communication and presentation skills

Experience working with global teams.

Good to have skills:

Understanding of various Visualization platforms (Tableau, Qlikview, others)

Experience with Java or Scala will be a big plus.

Experience of developing Data Pipeline for ML Applications using tools like DataIku