Data Technology Lead

1 month ago


Bengaluru, Karnataka, India Millennium Management Full time

Our company, Millennium Management, is seeking a highly skilled and experienced individual to join our team as a Data Technology Lead in Reference Data Technology. As a Data Technology Lead, you will be responsible for supporting an operations team in a high-pressure environment where timeliness and quality of data are of utmost importance. The ideal candidate will have a strong technical background in architecture and design, with full-stack development experience in Angular and Java. In addition to technical prowess, the candidate will need to be able to communicate effectively with Operations users and translate their requirements into appropriate solutions. A candidate who has previous experience in developing solutions to automatically detect and present options to fix anomalies in datasets will have the advantage.

Key Responsibilities

Lead a team of developers and provide technical guidance and mentorship

Support the operations team in managing and maintaining reference data systems

Ensure timely and accurate delivery of high-quality data

Collaborate with stakeholders to understand requirements and develop efficient solutions

Analyze data quality issues and develop strategies to improve data accuracy and integrity

Utilize techniques to identify anomalies in existing datasets and come up with solutions to address

Drive process improvements to enhance data quality and operational efficiency

Stay updated with industry trends, emerging technologies, and best practices related to reference data technology

Requirements

Proven experience supporting an operations team in a high-pressure environment

Strong technical background with deep expertise in Angular and Java development

Strong SQL skills

Experience leading a team of developers

Proficiency in data quality analysis and management techniques

Familiarity with Artificial Intelligence methodologies for detecting and evaluating data quality anomalies

Solid understanding of reference data systems and their importance in business operations

Excellent problem-solving skills and ability to think critically

Effective communication and leadership abilities

Strong organizational and time management skills

Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)

Preferred Qualifications

Advanced knowledge of AI techniques and frameworks for data quality analysis

Experience in implementing data quality solutions and frameworks

Understanding of data governance principles

Familiarity with big data technologies and tools

Knowledge of financial or regulatory systems and reference data domains

Python skills would be an asset

If you are a highly motivated individual with a passion for leading teams, driving technical excellence, and ensuring the accuracy and quality of reference data, we would love to hear from you.


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