Azure Data Engineer - Pune

Location : Pune

5 Days WFO

Who we are :

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

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

Must Have Skills :

Good to Have Skills :