TresVista - Assistant Vice President - Data Engineering

Assistant Vice President - Data Engineering

About TresVista :

TresVista is a global enterprise offering a diversified portfolio of services including investment diligence, industry research, business development, fund administration, accounting, and data analytics. Working with a wide array of clients including asset managers, advisors, corporates, and entrepreneurs, TresVista currently has over 1,000 employees across offices in Mumbai, Pune, Bengaluru, New York, London, and Singapore, and provides high-caliber support and operating leverage for over 1,000 clients across geographies and asset classes.

Overview :

TresVista is looking to hire an AVP - Data Engineering in its Data Intelligence Group, primarily responsible for project execution for the clients and internal teams. The AVP would also be guiding a few associates and analysts with best practices and technical difficulties.

Role & Responsibilities:

- Collaborates with Business Analysts to understand requirements and uses analytical tools to create a data pipeline to provide actionable insights into financial management, operational efficiency, and other key business performance metrics

- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, where necessary supporting the redesign of infrastructure for greater scalability

- Develops sophisticated & innovative analytical solutions and actionable insights for the stakeholder

- Acquires data from multiple sources to convert it in a specified format to be stored in a database for insight generation

- Supports creation of Coding Best Practices, Software Product Training Materials, Software Product User Guides, and Software Product Deployment Instructions

- Fixes software defects/bugs, measures and analyses code for quality

People Management:

- Supports the development of an environment where people management and development are a priority, along with training and mentoring new/junior members in the team

- Actively supports the business strategy, plans and values, contributing to the achievement of a high-performance culture

- Acts as a role model for new employees, providing help and support to facilitate early integration and assimilation of their new environment

Technical Skills:

- Hands-on experience on ETL (Python/Spark/R) and Data Warehouse experience MySQL/SQL Server

- Extensive hands-on experience in Data Science and NLP using Python

- Experience with Software Development Life Cycle (SDLC) methodologies like Agile - Development and activities like Performance tuning / Optimization

- Experience with modern SDLC tools - Git/Bit Bucket, JIRA/Trello is a plus

- Experience with visualization tools - Tableau/Power BI/Qlik is a plus

- Experience in designing, developing, and maintaining complex enterprise applications

- Proficient Communication Skills, High Quantitative ability, and Analytical skills

- A good understanding of Cloud Platform (AWS/Azure) as a service offering will be an advantage

Experience Required :

- 7+ years of experience in Data Engineering/Software Development

- Bachelors/Master's degree from Tier-1 colleges would be preferable

Qualification Required

- BE (Computer Science or IT)/ BCA

Compensation

- The compensation structure will be as per industry standards