Azure Data Engineer - Pune at Lumiq

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

26 Sep, 26

Salary

0.0

Posted On

28 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Cloud, Python, SQL, Spark, Batch Ingestion, Batch Processing, Postgres, MySQL, Oracle, Databricks, Synapse, Microsoft Fabric, Kafka

Industry

Data Infrastructure and Analytics

Description

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: 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

Responsibilities

Design and implement scalable data pipelines, ETL processes, and cloud-based data infrastructure for BFSI customers. Optimize data storage and security while collaborating with data scientists to ensure high-quality data availability.