Azure Data Engineer - FinTech Transformation - 5+ Years - Pan India
Summary – We are seeking an experienced Azure Data Engineer to join our FinTech transformation initiatives. The role involves designing and developing scalable data solutions on Microsoft Azure, leveraging Azure Data Factory, Databricks, SQL, and related services. You will be instrumental in building high-quality data pipelines, ensuring accuracy, security, and performance to support large-scale digital transformation in the financial domain.
Location – Pan India
Your Future Employer – IT is a company that provides data analytics and AI solutions. It offers architecture and platform modernization, data management, cloud business intelligence, marketing analytics, lead generation services, etc.
Responsibilities
Design, build, and maintain scalable data pipelines on Azure cloud.
Work extensively with Azure Data Factory, Databricks, Data Lake, Synapse, and SQL.
Develop and optimize ETL/ELT workflows for structured and unstructured data.
Ensure compliance with data governance, security, and regulatory frameworks in the FinTech domain.
Collaborate with product, engineering, and business teams to deliver business-aligned data solutions.
Optimize pipeline performance, troubleshoot issues, and ensure high availability.
What is in for you-
A stimulating work environment with equal opportunities.
Skill enhancement while working with industry leaders and top brands.
Strong career growth supported by continuous learning.
Reach us: If you think this role is aligned with your career, kindly write me an email along with your updated CV on Simran.bhatia@crescendogroup.in for a confidential discussion on the role.
Disclaimer: Crescendo Global is specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status or disability status.
Note: We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us in 1 week. Your patience is highly appreciated.
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Keywords – Azure Data Engineer, Azure Data Factory, Databricks, SQL, Synapse, Data Pipelines, ETL, ELT, FinTech, BFSI, Cloud Data Solutions