App Integration Engineering (Application Development)

Job Description

*About UsMorgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firms 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. We provide you a superior foundation for building a professional career where you can learn, achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.Technology at Morgan StanleyTechnology is the key differentiator that ensures that we manage our global businesses and serve clients on a market-leading platform that is resilient, safe, efficient, smart, fast and flexible. Technology redefines how we do business in global, complex and dynamic financial markets. We have a large number of award-winning technology platforms that help to propel our Firm s businesses to be the top in the market. Our India technology teams are based in Mumbai and Bengaluru. We have built strong techno-functional teams which partner with our offices globally taking global ownership of systems and products. We have a vibrant and diverse mix of technologists working on different technologies and functional domains. There is a large focus on innovation, inclusion, giving back to the community and sharing knowledge.Job role:Data Engineer This position is with the Enterprise System Management (ESM) department. The position is with a team responsible to manage Morgan Stanley s IT inventory and assets data. This data is critical for regulatory, operational, and efficiency purposes. Our goals are: - Sourcing IT inventory and machine data (e.g. logs, alerts) in a timely manner. - Storing the data in scalable repositories - Providing analytics tools to analyze and derive insights from the data. - Providing data access APIs so that other applications can consume the data and insights. Project Description: We are launching a project to collect, correlate, summarize, and analyze large amounts of network and application monitoring data to be able to determine run-time dependencies and data flows, to be used for risk controls, operational efficiencies, and regulatory compliance. Position Description: We are looking for an experienced Data Engineer with deep understanding of large-scale data handling and processing best practices in a mixed on-prem and cloud environment to help us build scalable systems. It is vital that we deliver robust solutions that ensure reliable access to data with a focus on quality and availability to facilitate analytics and user understanding. Those solutions will help bring to light actionable insights to improve business decisions and processes. Responsibilities include, but are not limited to: - Collaborate with other data engineers to implement a shared technical vision - Participate in the entire software development lifecycle, from concept to release - Designing and implementing batch and streaming data pipelines capable of processing large volumes of data - Build efficient code to transform raw data into datasets for analysis - Designing and implementing a data warehouse for reporting and analytics - Designing and deploying data models and views with large datasets that meet functional / non-functional business requirements - Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability - Delivering quality production-ready code in an agile environment - Delivering test plans, monitoring, debugging and technical documents as a part of development cycle - Creating data tools for analytics and working with stakeholders across all departments to assist with data-related technical issues and supporting their data infrastructure needs We are looking for engineers who can not only tackle technical problems, but also collaborate and evangelize best practices across teams. We value engineers who can bring fresh ideas and are willing to own solving problems all the way to a solution., *Qualifications (required):- 4+ years of data engineer experience with experience with data warehouse architecture and hands-on experience of data modeling design, ETL pipeline implementation- Deep understanding of data architecture data engineering, data analysis, data modelling, and reporting- Experience with cloud-based data warehouses such as Snowflake or similar- Advanced working SQL knowledge and experience working with relational databases- Kafka or equivalent streaming platform experience- Strong experience with Python- Strong general programming proficiency- Can learn anything you dont already know to get the job done- Excellent communication skills and ability to understand complex technology systems- Good active listening skills, the ability to empathize with stakeholders, and other engineers- Comfortable with ambiguity; you enjoy figuring out what needs to be done- Ability to quickly learn new technologies- Experience with GIT- Experience with Agile methodology- Comfortable with Linux operating system and command-line toolsQualifications (nice-to-have):- Strong experience with Snowflake- Experience working in a hybrid cloud and on-prem environment and/or with migrations from on-prem to cloud.- Experience with continuous integration and automated testing tools and methodologies- Experience with serverless architecture and microservices.- Experience JIRA- Experience with SCRUM- Experience with of Tableau, Qlikview, PowerBI or similar tools- Experience with Machine Learning

Keyskills :
btstroubleshootingsitebscssoftware development life cycledata warehouse architecturedata modelshybrid clouddata analysisdata modelingtesting toolsmachine learningdata engineering