Job responsibilities
- Provides guidance to immediate team of software engineers on daily tasks and activities
- Sets the overall guidance and expectations for team output, practices, and collaboration
- Anticipates dependencies with other teams to deliver products and applications in line with business requirements
- Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements
- Creates a culture of diversity, equity, inclusion, and respect for the team members and prioritizes diverse representation
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- Experience working with big data preferably in the financial domain
- Proven experience in Data Engineering and Analytics
- High level understanding of AI/ML Ops specifically related to Anomaly Detection and Data Discovery LLMs
- Data Engineering with Python & Spark (including System Design).
- Experience in AWS or equivalent public cloud.
- Prior experience with Feature engineering and ML Ops primarily focused on Anomalies.
- Strong understanding of Logical and Physical Data models.
- Ability to manage a team of developers and stakeholder management
- Experience leading technology projects with Agile
Preferred qualifications, capabilities, and skills
- Experience working at code level
- Experience with Databricks Lakehouse Platform.
- Prior Experience with in-memory cuing solutions such as Atoti/CubeJS