Morgan Stanley | Jobs | Data Engineer (Vice President) | BigDataKB.com | 31-01-22

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Job Location: Bangalore

Data Engineer (Vice President)

Job Number:

3199367

POSTING DATE: Jan 27, 2022
PRIMARY LOCATION: Non-Japan Asia-India-Karnataka-Bengaluru
EDUCATION LEVEL: Bachelor’s Degree
JOB: Engineering
EMPLOYMENT TYPE: Full Time
JOB LEVEL: Vice President

DESCRIPTION

Company Profile

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.

Technology / Department / Role
Operations Technology is looking for a Data Engineer for their India office. IMRS Platform is a key component of Metrics & Analytics Practice Area within Operations Technology. This practice supports Global Operations Control Group by defining, acquiring, publishing, and analyzing an integrated set of key risk and performance metrics. These metrics enable managers to make informed decisions, while executing the Firmโ€™s objectives across the domains of Risk, Financial and Manpower.
Roles and Responsibilities
    Responsible for the design, coding, testing, tuning and maintenance of DB2 data marts, sound Python and Informatica code
    Work directly with Modelers/Architects/DBA on data modeling, logical/physical schema design, SQL query tuning; and the application of data-related business rules while assisting in troubleshooting, debugging, and issue resolution
    Communicate effectively with end users, peers, and management regarding assignments, and must have a can-do attitude and a desire to provide solutions
    Delivering projects with a high-level of data quality and integrity
    Meet deadlines and possess a proven record of successful project execution and delivery.
    Demonstrate knowledge of SDLC processes and procedures adjusted for a Rapid Application Development methodology (agile)
    Delivering projects with a high-level of data quality and integrity
    Meet deadlines and possess a proven record of successful project execution and delivery
    Provide support for the resolution of all reporting issues escalated by the Support Operations Team post-implementation.
    Working with global development team to have designs implemented, tested, and productionized
    Influencing decisions with divisional partners, internal teams, senior management, and external partners

    Collaborate with the team to define the information architecture, advocating interaction design best practices with a focus on consistency and usability

QUALIFICATIONS

The Successful Candidate Should Have
    10+ Years of strong development experience with Python, Spark with sound DB knowledge
    Experience in Python for automating data cleansing, data re-formatting, data transformation.
    Good to have knowledge of one popular Python framework (Flask, Django etc.)
    Experience working with libraries like Numpy, Pandas etc.
    Sound understanding of Data Architecture Principles, Data Governance, Data Strategy, Data Standards, Data Quality, Data Modelling and Data Definitions.
    Strong Data Modeling skills – Enterprise Data Model (OLTP) and Dimensional modeling. Well versed with principles, techniques and best practices of data modeling.
    Strong Skills in Relational Database (preferably DB2) including database design, performance tuning, writing complex DB programs etc.
    Experience working with Cloud databases such as Snowflake
    Demonstrate proficient skills in analysis and resolution of application performance problems.

Secondary Skills / Desired skills
    Knowledge about Devops implementation in Data space
    Understanding of Document oriented / NoSQL / Cloud datastore.
    Cloud Certifications/Experience and Big data programming especially Spark is good to have

    Financial Services experience will be a strong plus

https://bigdatakb.com/morgan-stanley-hiring-data-engineer-vice-president-bigdatakb-com-28-jan-22/

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