Morgan Stanley | Hiring | Data and Knowledge Engineer | BigDataKB.com | 2022-09-14

0

Job Location: Mumbai

Data and Knowledge Engineer

Job Number:

3223387

POSTING DATE: Sep 13, 2022
PRIMARY LOCATION: Non-Japan Asia-India-Maharashtra-Mumbai (MSA)
EDUCATION LEVEL: Bachelor’s Degree
JOB: Development
EMPLOYMENT TYPE: Full Time
JOB LEVEL: Associate

DESCRIPTION

Data and Knowledge Engineer

Company Profile

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm’s employees serve clients worldwide including corporations, governments, institutions and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com.

Data Center of Excellence

Data COE team is distributed globally between New York, London, Budapest, India, and Shanghai; and are engaged in a wide array of projects touching all business units (Institutional Securities, Investment Management, Wealth Management) and functions (e.g. Operations, Finance, Risk, Trading, Treasury, Resilience) across the Firm.
The team vision is a multi-year effort to simplify firm’s data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making, and providing a platform to implement future change initiatives faster, cheaper and easier.

Job Profile

Role Summary:
The Data Center of Excellence department is recruiting for an enthusiastic, dynamic, hands-on and delivery focused Data & Knowledge Engineer.
As a member of our Software Development team, we look first and foremost for people who are passionate about solving business problems through innovation and engineering practices. You’ll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner with stakeholders to stay focused on business goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You’ll work in a collaborative, trusting, thought-provoking environment one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. You’ll combine your design and development expertise with a never-ending quest to create innovative technology through solid engineering practices. You’ll work with highly inspired and inquisitive team of technologists who are developing & delivering top quality technology products to our clients & stakeholders. Responsibilities:
    Design, development and support of Data Ingestion Framework and pipelines (using tools like Apache NiFi, Python programming) and Big Data Analytics solutions (using platforms like Snowflake, Databricks)
    Collaborate with business and other technology teams to translate business requirements into innovative solutions implementing performant, scalable, resilient distributed applications

QUALIFICATIONS

Skill Set

Required Skills
    5+ Years of strong development experience building robust Data ingestion and processing pipelines using tools like Apache NiFi, Python programming as well as Autosys
    Strong Skills in Relational Databases including database design, modeling, SQL and stored procedures
    Experience with Big Data processing and technologies like Snowflake, Databricks, Hadoop, Spark, Kafka
    Experience and expertise working with data wrangling and visualization tools like Dataiku, Tableau, Power BI
    Experience working on UNIX/Linux platform, Shell scripting
    Experience with full SDLC process and Agile Methodologies
    Experience with TDD, BDD methodologies and frameworks
    Experience in managing the deployments and build frameworks
    Strong problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills with both technical and non-technical audiences
Desired Skills:
    Semantic and Graph Technologies – Graph DB / Triple Stores like Stardog, NoSQL DBs, SPARQL, Ontology, RDF, OWL, R2RML, Graph Analytics & Inferencing, Graph Visualization using components like D3
    Ontology and Knowledge Graph development
    Experience building Chatbots and other analytics applications using AI, Machine Learning and Natural Language Processing (NLP)
    Experience in Application and API development using Java and Spring Boot:
    Java – Core Java, Multithreading, Spring, Caching, Security/Authentication
    Design Patters, Object Oriented Design
    API Development – REST, JSON, GraphQL, Spring Boot
    Financial Services experience will be a strong plus

Qualifications/Criterion

  • Bachelor’s Degree in Computer Science, Computer Engineering, Data Analytics or related field

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents.

Apply Here

Submit CV To All Data Science Job Consultants Across Bharat For Free

🔍 Explore All Related ITSM Jobs Below! 🚀 ✅ Select your preferred "Job Category" in the Job Category Filter 🎯 🔎 Hit "Search" to find matching jobs 🔥 ➕ Click the "+" icon that appears just before the company name to see the Job Detail & Apply Link 📝💼

LEAVE A REPLY

Please enter your comment!
Please enter your name here