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.
We are looking for a senior database engineer to accelerate the adoption and implementation of new database technologies including MemSQL, cloud-base technologies such as snowflake and other non-Teradata based solutions for reporting and adjustments data base persistence.
You must have in-depth expertise in application, database administration, physical data modeling and performance engineering expertise in large scale enterprise class installations. You will work with the Finance Technology data persistence team to accelerate the testing and deployment of applications across various data containers in our ecosystem.
Expertise in designing and architecting large-scale database deployments for production, development and testing environments, which include planning, configuration, installation, performance tuning, monitoring and support
5 years experience working in Massively Parallel Processing (MPP) database platforms such as Teradata, GreenPlum, Exadata, and/or IBM-DB2.
5 years experience working in OLTP database platforms such as Sybase, DB2, SQL Server or Oracle.
Knowledge of and experience in emerging cloud-based databases such as MEMSQL, Snowflake, Azure are a huge plus
Good understanding of Distributed Systems and Parallel Processing architecture
Innovative thinking and deep technology expertise, self-motivated team player, excellent communication and interpersonal skills with results oriented dedication towards goals
Proficient in Waterfall & Agile development methodology
Perform hands-on data modeling, database tuning and outage triage
Strong preference for candidates with Finance Domain experience including the Detailed Sub Ledger, General Ledger, Risk and/or Regulatory.
Strong preference for candidates with hands-on MemSQL experience
Converting application from traditional RDBMS into memsql touching ETL/Procs/reporting.
Physical design and implementation
Import Export utilities with Memsql
Memsql integration with Hadoop and spark.
Database architecture and development. SQL expertise
Good knowledge of Hadoop ecosystems, HDFS, Big Data