/*! elementor - v3.21.0 - 26-05-2024 */ .elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block} AAVIS Engineering & Quality Solutions Pvt. Ltd., is a outstanding place to work, offering excellent opportunities, sure to give your career the required direction and a learning environment to accelerate your growth. Email us on [email protected] for career opportunities and we will get back to you.

Designation: Data Technical Lead
Location : Bangalore
Exp : 15 Years

Experience, Knowledge & Skills
Essential

- 15+ years’ development experience with java and SQL expertise
- Able to demonstrate a willingness and ability to lead other developers.




- 5+ years of solid database design and development including SQL, data modelling, query optimisation.
- Experience in handling financial data sets and familiarity with financial instruments (equities, futures, FX)
- Experience of systems design and platform selection. Ability to develop & test solutions to address the client problems & requirement.
- Excellent communication skills. Should have strong relationship management skills and be comfortable interacting with all management levels
- Well organised with the ability to prioritise and manage multiple streams of work.

Beneficial

- Experience in designing & developing data processing solutions & custom ETL pipelines for varied data formats.
- Experience of developing tools for managing/visualising/exploring complex data sets
- Exposure to Python
- Exposure to data vendor technology; Bloomberg, Thomson Reuters etc
- Statistical analysis of large/complex data sets
- Exposure to Cloud technologies, particularly AWS and Snowflake
- Experience of managing offshore resources in India.
- Familiarity with Big Data ecosystem

Domain: Mandatory strong Capital Market domain.

📌 Data Technical Lead (India)
🏢 Aavis Engineering And Quality Solutions,
📍 India