Job Overview
Data Engineering Lead – Fintech
Job Description
We are hiring a Data Engineering Lead to design, implement, and manage data pipelines supporting fintech analytics and AI solutions. This role requires technical expertise, leadership skills, and experience with large-scale financial datasets.
Key Responsibilities
Lead the design and deployment of scalable data pipelines.
Collaborate with data scientists and product teams.
Ensure data security, quality, and compliance with regulations.
Optimize data storage, processing, and analytics workflows.
Mentor junior data engineers and build a high-performing team.
Research new technologies to enhance data architecture.
Monitor KPIs and improve data infrastructure performance.
Qualifications Needed
Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.
5–8 years of experience in data engineering, preferably in fintech.
Proficiency in SQL, Python, Spark, or Hadoop.
Strong knowledge of cloud platforms and data warehousing.
Excellent leadership and communication skills.
What the Company Offers
Competitive salary and technical bonuses.
Opportunities to lead large-scale fintech data initiatives.
Access to cutting-edge analytics and AI tools.
Flexible and collaborative working culture.
Career growth into senior data leadership roles.
Are you interested in this position? Apply by clicking on the “Apply Now” button below!
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