Mainframe Python Engineer_Director_Cloud & Infrastructure Engineering at Morgan Stanley

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

25 Mar, 26

Salary

0.0

Posted On

25 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, DB2, SQL, Excel, Data Visualization, JCL, Mainframe, Performance Tuning, Capacity Planning, Workload Forecasting, Analytical Skills, Problem-Solving, REXX, Java, Automation, Data Processing

Industry

Financial Services

Description

Experience with performance monitoring tools such as RMF or SMF is a significant plus but not required. Utilize RMF and SMF data for system performance analysis. Identify trends, bottlenecks, and optimization opportunities. Assist in capacity planning and workload forecasting. At least 6+ years' relevant experience would generally be expected to find the skills required for this role. Strong Python programming experience in mainframe integration contexts. Proficiency in DB2 and SQL for data manipulation and reporting.- Advanced Excel skills (PivotTables, PowerPivot, complex formulas). Experience with data visualization tools (Power BI, Tableau) or Python visualization libraries.- Familiarity with JCL and mainframe batch processing concepts. Excellent analytical and problem-solving skills. Experience with RMF (Resource Measurement Facility) and SMF (System Management Facility). Knowledge of mainframe performance tuning and observability tools. Exposure to REXX or Java on mainframe.- Understanding of capacity planning and workload modeling. Qualifications - bachelor's degree in computer science, Information Systems, or related field.- Experience in mainframe environments with Python development.- Strong communication skills and ability to work independently or in a team. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. We work to provide a supportive and inclusive environment where all individuals can maximize 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. Application Development Design and develop Python scripts and applications for mainframe automation and data processing. Integrate Python solutions with DB2 databases for efficient data access and manipulation. Modernize workflows and improve operational efficiency through automation. Support schema design, performance tuning, and troubleshooting. Analyze large datasets from mainframe systems. Build advanced Excel reports leveraging PivotTables, PowerPivot, and complex formulas. Work closely with infrastructure, operations, and development teams.

Responsibilities

Design and develop Python scripts and applications for mainframe automation and data processing. Analyze large datasets and integrate Python solutions with DB2 databases for efficient data access.