Data Engineer – Azure Databricks/Python – India
Join a dynamic team to build and maintain robust data infrastructure for investment management data. You will design scalable pipelines using Databricks and Azure to ensure high-quality data delivery for critical business needs.
What You’ll Do
Develop efficient data pipelines to migrate client and investment data.
Collaborate with investment teams to understand business requirements.
Monitor and troubleshoot pipelines to ensure high system availability.
Optimize database performance by designing scalable, cost-effective solutions.
Ensure strict data accuracy and quality across all systems.
Manage data structures for accounting and portfolio data sets.
What You Need
5+ years of experience in data engineering roles.
Proficiency in Apache Spark, Databricks Data Cloud, and schema design.
Exposure to Azure Cloud and Streaming technologies.
Advanced SQL skills and strong data warehousing concepts.
Experience with investment management data like transaction and accounting.
Experience with ETL tools like Snap Logic and Python.
Bachelor’s degree in Computer Science or related discipline.
The Opportunity
This role offers a chance to deep dive into financial domain data, blending technical engineering with specific investment management requirements.