
Senior Data Engineer Lead
2 days ago
We are seeking a highly skilled and dynamic professional to lead our data engineering team. This hybrid role requires working at least three days a week in the office.
Key Responsibilities:- Develop a deep understanding of digital trading platforms and other systems to optimize them for business efficiency.
- Gain a thorough understanding of digital placement data and its interaction with the larger data ecosystem.
- Build consolidated views using disparate data sources and placement data that includes coverages, exposures, losses, and trading data to provide valuable insights.
- Solve business pain points using data and technology – collaboration with business and data leaders.
Required Skills and Qualifications:
- Bachelor's/Master's degree in Computer Science/Statistics/Mathematics/Economics/Engineering discipline.
- 10-12 years of experience in BI and reporting – should have worked on enterprise-wide reporting systems and built dashboards and reports from scratch.
- 2-3 years of team management experience handling a minimum team size of 2-3 analysts.
Technical Skills:
- Data engineering and data transformation skills – SQL or Oracle.
- Data visualization – Power BI is a must-have, Tableau or Qlik would be a good-to-have.
- Exposure and familiarity with cloud platforms like Databricks on Azure and AWS.
People and Team:
- Institutionalize business and domain knowledge gained through knowledge management principles and techniques.
- Coaching and mentoring the team on a day-to-day basis to enhance their domain knowledge and business understanding.
Soft Skills:
- Understanding requirements, excellent communication skills, and stakeholder management are crucial skills.
This is an exciting opportunity to join a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients, and communities.
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