Job Location: Pune
This division consist of many domain and sub-domains like Trade management, Investor space, Trust and Agency of securities, client positions management , custodian business, Cash/wire payments ( Both internal and external via Swift, crest, Mint etc ) , Channels space, messaging billing and Trade Finance and Lending area. Some of the areas and very demanding and critical to business and client deliverables. Subdomains also including transaction banking, NAV calculations corporate actions etc.
Corporate banking applications serves the needs of business areas spread across all APAC, EMEA and US regions and production support teams.
Data Engineering team is responsible for providing data services to the entire CB production division. This includes creating and managing various dashboards and reporting for division s key stakeholders. It also helps wider engineering team with adoption of automated processes and enhancing monitoring capabilities across Client, Application and Infrastructure.
What we ll offer you
- As part of our flexible scheme, here are just some of the benefits that you ll enjoy
- Best in class leave policy
- Gender neutral parental leaves
- 100% reimbursement under child care assistance benefit (gender neutral)
- Flexible working arrangements
- Sponsorship for Industry relevant certifications and education
- Employee Assistance Program for you and your family members
- Comprehensive Hospitalization Insurance for you and your dependents
- Accident and Term life Insurance
- Complementary Health screening for 35 yrs. and above
Your Responsibilities
As an Engineer in the Data Engineering team, you will be responsible for the following.
- Supporting the execution and delivery of the overall data engineering strategy to achieve greater consistency in how solutions are adopted and implemented.
- Drive the creation, implementation and adoption of analytical dashboards and reporting mainly using Tableau.
- Complex Data Processing using SQL, Python and data science tools to derive meaningful insights.
- Carry out technical analysis of the data and tableau reports to identify and remediate performance and resiliency issues.
- Responsible for training other members within CB to ensure a wide reach of dashboards and analytical knowledge amongst members of the CB teams.
- Act as a role model to enhance the technical capability of the team embedded with engineering culture.
- Build and maintain effective and productive relationships with the stakeholders in business, development, infrastructure and third-party systems / data providers vendors.
- Ensure all knowledge is documented and that support runbooks and knowledge articles are kept up to date.
- Approach with a proactive attitude, working to improve the data services.
- Lead by example to drive a culture of proactive continual improvement through automation and innovation.
- Engage in the Software Development Lifecycle (SDLC) to enhance Production Standards and controls.
- The candidate may have to work in EMEA shifts to best align with key stakeholder s time zone.
Experience | Exposure | Skills:
- 6+ years experience in IT in large corporate environments, specifically in the area of development in Financial Services Technology.
- 1-2 years of development experience in Data Visualization using Tableau.
- Good working knowledge of Databases and SQL, Scripting, SDLC tools like JIRA, GIT.
- Data processing, analysis and presentation using Python and popular data science modules.
- Preferably knowledge and experience on cloud technologies like GCP.
- Good understanding of ITIL Service Management framework such as Incident, Problem, and Change processes. ITIL Foundation certification is preferred.
- Good analytical and problem-solving skills
- Can work independently with minimum supervision. Ability to self-manage a book of work and ensure clear transparency on progress with clear, timely, communication of issues.
- Excellent communication skills, both written and verbal, with attention to detail.
- Ability to work in virtual teams and in matrix structures
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