Senior Data Engineer
Neo Wealth and Asset Management
5 - 10 years
Panaji
Posted: 29/01/2026
Job Description
About the Role
We are hiring a Senior Data Engineer to own the reliability, security, and evolution of Neos core data platforms.
This role sits at the intersection of data engineering, platform reliability, and data security.
You will design and operate data systems that power analytics, reporting, decision engines, and regulatory workflows across Neos wealth and asset management platforms.
This is not a dashboard-only role.
This is not just an ETL role.
You are accountable for how data flows, how secure it is, and how trustworthy it remains in production.
What You Will Do
Design and operate scalable batch and streaming data pipelines
Own data ingestion, transformation, and serving layers across systems
Build reliable data platforms used by analytics, product, and AI teams
Ensure data quality, freshness, and correctness at scale
Design secure access patterns for sensitive financial data
Implement encryption, access controls, and audit-ready data workflows
Partner with product, risk, compliance, and InfoSec teams
Debug data failures, delays, and inconsistencies in production
Take ownership during data incidents and reliability issues
Education
Bachelors/masters degree in computer science, Engineering, Data Science, or related field.
Required Skills & Experience
5+ years building production-grade data engineering systems
Strong Python and SQL fundamentals
Experience designing and maintaining ETL / ELT pipelines
Experience with cloud-native data platforms (AWS preferred)
Strong understanding of data modelling and warehouse design
Experience operating relational and NoSQL databases in production
Solid grasp of data security fundamentals (IAM, PAM, encryption, access control)
Ability to reason about performance, cost, and reliability trade-offs
Good to Have
Experience with financial, trading, or wealth management data
Exposure to streaming or event-driven data systems
Experience with data governance, lineage, or cataloging
Familiarity with compliance-driven environments (SEBI, SOC, ISO)
Experience working closely with InfoSec or risk teams
What We Value
Engineers who think in systems, not scripts
Strong ownership of data correctness and security
Bias toward reliability over cleverness
Comfort operating in regulated environments
Engineers who debug production issues end-to-end
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