Lumiq

Lead Data Engineer

Rol remoto de Lead Data Engineer con fit claro de ubicación del candidato.

Publicado14 jul 2026

Países elegibles1 país aceptado

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

India

Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

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 AWS.
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.

Minimum 6 years experience with good Hands on Pyspark, Airflow, AWS.
Advanced SQL and PySpark expertise; strong understanding of Data Engineering concepts (DW, Data Lake, OLTP vs OLAP, etc.)
API development experience (preferably in Python)
Familiarity with Docker and Kubernetes
Experience with Airflow
Exposure to Hudi, Iceberg, or Delta Lake
Strong AWS project experience(should also be adaptable to other cloud platforms if required)
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.
Proficiency in programming languages like Python, Java, or spark for data processing and ETL operations.
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.

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.

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