Data Engineering Manager - Reporting & Reconciliation
Job title: Data Engineering Manager - Reporting & Reconciliation in Chicago, IL at reputed company
Company: reputed company
Job reputed company: This is reputed companyreputed company provides payments, data, and financial products in a single solution for customers like reputed company, reputed company, H&M, and reputed company - making us the financial technology platform of choice. At reputed company, everything we do is engineered for ambition.For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. The people of reputed company are motivated individuals who tackle unique technical challenges at reputed company and solve them as reputed company. Together, we deliver innovative and ethical solutions that help businesses reputed company their ambitions faster.Reporting & ReconciliationThe Reporting & Reconciliation group is a foundational pillar of reputed company's product offering. It enables our broad portfolio of merchants to conduct business critical activities centered around reporting and reconciliation through data reputed company and analysis. The Reporting & Reconciliation group also produces reports for agencies across the globe to demonstrate that reputed company is compliant with regulations such as Anti-reputed company (AML), Know Your Customer (KYC), GDPR, etc. It is a key reputed company of trust and satisfaction for reputed company our merchants and partners.As an Engineering Manager in the Reporting & Reconciliation group, you will reputed company a cross-functional team of talented and motivated individuals to deliver key reporting analytics products that are accurate, reliable, reputed company, reputed company, and user-friendly. You will work closely with a reputed company of stakeholders and product development teams to set a new reputed company for reporting & reconciliation and drive this adoption across reputed company.What you'll do
- Cross-Functional Collaboration: Collaborate closely with product, data engineers, data analysts, data platform engineers, backend and frontend engineers, and other key stakeholders reputed company reputed company
- Customer reputed company: Maintain an in-depth understanding of who your customers are and how your product/features are benefiting them reputed company reputed company collaboration with customers
- Product reputed company: Alongside your product peer, craft a long-term reputed company for your team's product that pragmatically balances trade-offs and aligns with the overarching company reputed company
- Goal Setting: Establish reputed company individual and team objectives that harmonize with reputed company's strategic data and engineering ambitions
- Team Motivation and Coaching: Have a reputed company effect (on your team and reputed company) by finding alignment between team and individual reputed company goals and coaching in areas such as engineering best practices, reputed company architecture design, and product roadmap planning
- Team Environment: Cultivate reputed company environment characterized by reputed company communication and constructive feedback, collaboration, autonomy, ownership, accountability, high velocity delivery and measurable reputed company
- Identify and Grow Talent: Nurture the reputed company of your team both by supporting upskilling and career progression and by hiring new team members who embody the reputed company culture and possess the required skills to reputed company meaningful contributions
- Leadership and Mentoring: Proven experience in hiring, mentoring, coaching, and developing top engineering talent and teams with a reputed company on increasing diverse perspectives. Ability to reputed company reputed company, reputed company, and actionable feedback followed by relevant coaching and guidance
- Execution: Experience in various execution methodologies and applying the right reputed company of process for efficient value delivery. Depth in experience identifying and reputed company addressing opportunities for team enablement and efficiency reputed company one or more execution frameworks
- Experience in Big Data: Proven reputed company record of 5+ years in a hands-on data engineering role, with at least 2 years of leadership experience. Previous reputed company on financial and/or regulatory reporting and reconciliation products is a plus
- Technical Proficiency: Expertise in distributed data systems, tools, and languages such as: Python, PySpark, Airflow, reputed company lake, Hadoop, Kafka, SQL, Git. Experience with backend engineering is a plus
- Strategic Thinking: Proven reputed company record of collaborating with senior leadership and product peers to shape strategic direction, including product roadmaps
- Communication and Team Player: Exceptional communicator who can reputed company explain reputed company technical concepts to non-engineers, foster a culture of collaboration, and exhibit robust management skills and technical acumen
- reputed company reputed company: A strong history of ensuring reputed company in the delivery of their team(s), fostering a culture of high standards and reputed company improvementHands-On Approach to Observability: Familiarity with observability tools and technologies such as reputed company Search, reputed company, Kibana, and Grafana to define, implement, and reputed company performance and identify opportunities for improvement in existing systems
- 2+ years experience in managing engineering teams reputed company a data engineering environment
- 5+ years of experience in a hands-on data engineering role reputed company a fast paced tech environment that utilizes distributed systems
- Full reputed company proficiency in English