LUMIQ - AWS DE TECH LEAD

Posted 9 Days Ago
Be an Early Applicant
Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
In-Office
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Lead a team of data engineers to design, build, and maintain cloud-based data pipelines and architectures (primarily on AWS). Implement ETL processes, optimize storage and processing, ensure data security/compliance for BFSI clients, and collaborate with data scientists and cross-functional teams to deliver reliable analytics-ready data.
Summary Generated by Built In

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.

Skills Required

  • Minimum 6 years experience in data engineering
  • Hands-on PySpark and Spark expertise
  • Experience with Airflow
  • Strong AWS project experience
  • Advanced SQL skills
  • API development experience (preferably in Python)
  • Familiarity with Docker and Kubernetes
  • Exposure to Hudi, Iceberg, or Delta Lake
  • Proficiency in programming languages like Python, Java, or Spark for ETL
  • Experience with big data technologies (Hadoop, Spark)
  • Proven experience leading and managing a team of Data Engineers
  • Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)
  • Familiarity with BFSI data standards, compliance, and security protocols
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
100 Employees

What We Do

NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.

Similar Jobs

Ericsson Logo Ericsson

Senior Engineer

Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
In-Office
Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
88000 Employees

Ericsson Logo Ericsson

Specialist- IP

Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
In-Office
Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
88000 Employees

Ericsson Logo Ericsson

Specialist- IP

Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
In-Office
Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
88000 Employees

ZS Logo ZS

Consultant

Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Hybrid
Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
15000 Employees

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account