Job Description :

We are seeking a highly skilled Lead Data Engineer to join our dynamic team. In this role, you will not only design and develop our cloud-based data infrastructure but also lead a team of Data Engineers to deliver robust and scalable data solutions for our BFSI customers.

As a Tech Lead, you will work at the intersection of cloud technologies, data engineering, and the BFSI domain, while guiding the team to ensure project success.

Key Responsibilities :

- Lead, mentor, and manage a team of Data Engineers to deliver high-quality data solutions.

- Design, develop, and implement cloud-based data pipelines, ETL processes, and data integration solutions using platforms like AWS, GCP or Azure.

- Collaborate with cross-functional teams to understand data requirements and design scalable data models and architectures that align with BFSI industry needs.

- Optimize data storage, processing, and retrieval for maximum performance and cost-efficiency in cloud environments.

- Implement data security and compliance measures to ensure the protection and integrity of sensitive BFSI data.

- Work closely with data scientists and analysts to enable seamless access to high-quality data for analytical purposes.

- Troubleshoot and resolve data-related issues, ensuring data availability and reliability for BFSI customers.

- Stay updated on industry best practices, emerging cloud technologies, and trends in the BFSI sector to drive continuous improvement and innovation.

- Manage project timelines, delegate tasks, and ensure the successful delivery of data engineering projects.

Qualifications :

- Minimum 7 years experience.

- Proven experience in leading and managing a team of Data Engineers in previous roles.

- Bachelors degree in computer science, Engineering, or a related field. Master's degree preferred.

- Proven experience in cloud data engineering, with expertise in platforms such as AWS, Azure, or Google Cloud.

- Proficiency in programming languages like Python, Java, or spark for data processing and ETL operations.

- Strong understanding of data warehousing concepts, data modeling, and database management systems.

- Experience with big data technologies (e.g., Hadoop, Spark) and data processing frameworks.

- Familiarity with BFSI industry data standards, compliance requirements, and security protocols.

- Excellent problem-solving skills and the ability to work in a collaborative, cross-functional team environment.

What do you get :

- Opportunity to contribute to an entrepreneurial culture and exposure to the startup hustler culture.

- Competitive Salary Packages.

- Group Medical Policies.

- Equal Employment Opportunity.

- Maternity Leave.

- Opportunities for upskilling and exposure to the latest technologies.

- 100% Sponsorship for certification.

- Flexible work hours.