Skip to content
← Back to job listings

LUMIQ - AWS DE TECH LEAD

Nexthire · NOIDA, IN

External listingfull-time6 months ago

About The Role

  • LUMIQ is the leading Data and Analytics company in the Financial Services and Insurance (FSI) industry. We
  • are trusted by the world's largest FSIs, including insurers, banks, AMCs, and NBFCs, to address their data
  • challenges. Our clients include 40+ enterprises with over $10B in deposits/AUM, collectively representing
  • about 1B customers globally.
  • Our expertise lies in creating next-gen data technology products to help FSI enterprises organize, manage, and
  • effectively use data. We have consistently challenged the status quo, introducing many industry-firsts like the
  • first enterprise data platform in Asia on cloud for a regulated entity.
  • Founded in 2013, LUMIQ has now completed a decade of innovation, backed by Info Edge Ventures (a JV
  • between Temasek Holdings of Singapore and Naukri) and US-based Season 2 Ventures.

Our Culture

  • At LUMIQ, we strive to create a community of passionate data professionals who aim to transcend the usual
  • corporate dynamics. We offer you the freedom to ideate, commit, and navigate your career trajectory at
  • your own pace.
  • Culture of ownership – empowerment to drive outcomes.
  • Our culture encourages 'Tech Poetry' – combining creativity and technology to create solutions that
  • revolutionize industry. We trust our people to manage their responsibilities with minimal policy constraints.
  • Our team is composed of the industry's brightest minds, from PhDs and engineers to industry specialists
  • from Banking, Insurance, NBFCs, AMCs, who will challenge and inspire you to reach new heights.

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 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.

Qualifications

  • 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.
  • Bachelor’s 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.

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.

This is an external listing. JobSpring does not represent or verify the employer. Report this listing