Director Data Engineer - India's leading Fintech Platform
Female candidates would be preferred.
About :
- We are one of India's fastest growing fintech companies that offers a range of financial services &products for merchants, kirana store owners and end consumers.
- Valued at over $2.8 Bn within a short span of 3+ years, we focus on empowering small business owners and retailers with all things business ranging from QR & PoS payments to easy loans to high-yield investment products which in turn enables them to grow and transform.
- We understand that business and culture are two sides of the same coin. So, alongside business, we are equally focused on building a culture where employees succeed unconditionally.
Job Description- Director : Data Engineering & Architecture1.
Strategy & Planning :- Defining and implementing data architecture and governance policies while working in a fast-changing regulatory & data-privacy environment.
- Manage a intricately connected data across products (e.g..) & platforms (e.g...) to improve data reliability and quality.
- Develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling.
2.
Implementation & Operations :- Combine raw information from different sources (e.g. ..) to create consistent and machine-readable formats.
- Designing and implementing data pipelines to move data from various sources to a centralized data store
- Optimizing data storage and processing systems for performance and scalability
- Ensuring data quality and security
3.
Collaboration & team-management- Provide strategic input and leadership on decision making issues affecting the data organization.
- Share knowledge, mentor, and educate the organization's management, and other key stakeholders with regard to the company's data engineering vision, opportunities, and challenges.
- Collaborating with data scientists and analysts to understand their data needs and provide them with the necessary tools and resources to access and analyze data.
- Managing and developing a team of data engineers