Job responsibilities
- Provides guidance to immediate team of data engineers on daily tasks and activities
- Sets 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 team members and prioritize diverse representation
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience
- Good experience in designing and developing Data products.
- Hands on experience in AWS Cloud services, Python, pySpark, SQL, and Data Engineering.
- Expertise in Snowflake.
- Good understanding of data fabric concepts.
- Decent understanding on ML models and ML life cycle.
- Proven expertise in design and development of data pipelines from scratch focusing Data quality, security, monitoring, and alerting.
- Good data-driven mindset to lead data strategy discussions with stakeholders.
- In-depth knowledge of the financial services industry and their IT systems
- Ability to train and guide the team towards achieving common goals.
- Capability to deliver constructive feedback and conduct year-end appraisals for the team, while effectively resolving any disagreements.
Preferred qualifications, capabilities, and skills
- Familiarity with Java and/or JavaScript is a plus.