Data Engineer Sr. Consultant
At a glance
Senior Data Engineering role at NTT DATA. Noida.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Talk with business stakeholders, product owners and SMEs to capture migration needs for reporting, analytics and data
- Map existing data movement and report use, then shape business requests into stories and acceptance criteria
- Maintain source-to-target maps and data dictionaries, documenting platform rules, transformations and quality expectations
- Own backlogs for Databricks, dbt/ETL or testing squads, ranking work by business value and technical dependencies
- Run Agile ceremonies, monitor sprint measures and coordinate with program leads and architects to resolve blockers
What you bring
- At least eight years documenting data, reporting and reconciliation needs across policy, claims, billing or another listed area
- Practical experience creating mappings, report logic, KPI definitions and data dictionaries for enterprise platforms
- Can turn Guidewire CDA feeds and older AS400/DB2 structures into business-ready requirements for Silver layer design
- Experience with profiling, issue triage, UAT, report validation and carrying requirements through test evidence and sign-off
Who this fits
This role suits a senior data requirements professional who can facilitate work with business SMEs, product owners, actuaries, claims, underwriting and regulatory or reporting teams. You’ll lead Agile work for one or more cross-functional squads, including onshore and offshore colleagues.
From the employer
Roles & Responsibilities
• Work with business stakeholders, product owners, and SMEs to understand reporting, analytics, and data requirements impacted by the migration.
• Document current-state data flows, and reporting usage.
• Translate business needs into clear, structured user stories, functional requirements, and acceptance criteria for:
• Create and maintain source-to-target mappings (STMs) and data dictionaries for key subject areas.
• Clarify and document business rules, transformations, and data quality expectations for the new platforms.
• Support prioritization of scope and features based on business value and technical dependencies.
• Own and manage the product backlog for one or more squads (Databricks, dbt/ETL, or Testing).
• Facilitate backlog grooming / refinement sessions, ensuring stories are:
• Ensure each story has clear acceptance criteria and traceability to upstream requirements and program objectives.
• Act as Scrum Master for one or more cross-functional squads (onshore/offshore).
• Plan and facilitate Agile ceremonies:
o Sprint planning
o Daily stand-ups
o Backlog refinement
o Sprint reviews
o Retrospectives
• Track and manage sprint metrics (velocity, burndown, capacity, committed vs delivered scope).
• Identify and remove impediments, coordinating with Program Lead, architects, and other teams as needed.
Experince:
• 8+ years eliciting and documenting data, reporting, and reconciliation requirements across Policy, Claims, Billing, Finance, and agency operations.
• Hands-on experience producing source-to-target mappings, business rules, report logic, KPI definitions, and data dictionaries for enterprise data platforms.
• Ability to translate Guidewire CDA feeds and legacy AS400/DB2 structures into business-friendly canonical requirements for Silver layer design.
• Experience supporting data profiling, issue triage, UAT, report validation, and traceability from requirement through test evidence and sign-off.
• Strong stakeholder facilitation skills with business SMEs, product owners, actuaries, claims, underwriting, and regulatory/reporting teams.
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