Lead Data Engineer

Pune - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

About Us:

LUMIQ is the leading Data and Analytics company in the Financial Services and Insurance (FSI) industry. We are trusted by the worlds 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.

Job Description:

We are seeking a highly skilled Azure Data Engineer to join our dynamic team. As a Data Engineer at LUMIQ you will play a crucial role in designing developing and maintaining our cloud-based data infrastructure to support our BFSI customers. You will work at the intersection of cloud technologies data engineering and the BFSI domain to deliver robust and scalable data solutions.

Key Responsibilities:

Design develop and implement data pipelines ETL processes and data integration solutions.
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 Azure 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.

Qualifications:

Minimum 7 years experience as a Data Engineer with strong skills in Azure Cloud Python SQL Spark Batch Ingestion and Processing.

Must Have Skills:

Strong SQL querying skills
Strong experience in Python and Spark.
Strong experience in Batch Ingestion and Processing.
Strong experience working on Azure Cloud platform.
Experience with any Database (Postgres MySQL Oracle etc.)

Good to Have Skills:

Databricks
Synapse
Microsoft Fabric
Azure Certifications
Streaming and Kafka (For any future streaming use cases)

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

About Us: LUMIQ is the leading Data and Analytics company in the Financial Services and Insurance (FSI) industry. We are trusted by the worlds largest FSIs including insurers banks AMCs and NBFCs to address their data challenges. Our clients include 40 enterprises with over $10B in deposits/AUM coll...