Senior Data Scientist/Engineer – Financial Services (Chennai | UK Shift | Immediate Joiners)

Experience Required:

Minimum 78 years of strong hands-on experience in Data Engineering,Data Management & Business Intelligence.

( Freshers / Entry-level candidates need not apply)

Job Location:

Chennai Work from Office only

Working Timings (Mandatory):

UK Shift: 1:30 PM 11:00 PM IST

Occasional weekend or after-hours support may be required during deployments or production issues

About the Role:

We are a capital markets technology solutions and services firm helping global financial institutions manage balance-sheet operations using scalable, innovative data platforms.

We are looking for a hands-on Senior Data Engineer who can design, build, and deploy enterprise-scale data solutions. This role requires close collaboration with onshore and offshore teams, strong ownership, and deep technical expertise across the modern data stack.

Key Responsibilities:

• Design and deliver end-to-end data solutions from ingestion to analytics and reporting
• Build and optimize ETL/ELT pipelines using Matillion, Fivetran, SQL, and Python
• Develop scalable data models supporting analytics and BI use cases
• Work extensively with Snowflake, including automated and continuously refreshed pipelines
• Analyze and document existing data architectures, lineage, and dependencies
• Collaborate with project managers, analysts, data scientists, and client stakeholders
• Implement data governance, quality, and regulatory compliance standards
• Create automation workflows for orchestration, scheduling, monitoring, and validation
• Produce detailed design, test, and deployment documentation
• Support production deployments and resolve end-to-end defects

Mandatory Technical Skills:

Data & Cloud Platforms

• Snowflake (strong hands-on)
• AWS and/or Azure
• SQL Server, Oracle, OLAP, OLTP systems

Programming & Analytics

• Python (mandatory)
• SnowPark, PySpark
• Java / Shell / .Net / JavaScript (good to have)

ETL & Orchestration

• Matillion, Fivetran, SAP Data Services
• Tidal, Workato

BI & Visualization

• Power BI
• Qlik, SAP Web Intelligence (preferred)

DevOps & Data Engineering Practices

• Git, Bitbucket, Jenkins
• JSON, XML, CSV data processing
• Data modeling and enterprise data architecture

Preferred Experience:

• Financial Services / Capital Markets domain
• Data warehousing, data lakes, migrations, re-platforming projects
• Client-facing consulting roles

Soft Skills:

• Strong problem-solving and analytical mindset
• Excellent communication with global stakeholders
• Ability to work independently and lead within agile teams
• Consultative approach with attention to detail

Why Join Us:

• Work on enterprise-scale financial services/capital markets data platforms
• Exposure to global clients and UK stakeholders
• Opportunity to own solutions from design to production
• Be part of a high-impact, technically strong data engineering team