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Agency job
via Bean HR Consulting by SHINJANI TRIVEDI

Gurugram, Noida, Bengaluru (Bangalore), Pune · 8 - 17 years · ₹30L - ₹40L / yr · Posted 6 Oct 2026

Google Cloud Platform (GCP)
Google Cloud Storage
Data architecture
Data modeling
Data mining

IMMEDIATE JOINERS ONLY


Key Responsibilities:

1                   Data Flow Mapping & Lineage

2                   Design and produce end-to-end data flow maps for critical data items – from market source/core systems, through Data Lake staging, zone 2 and consumption zone 3, to downstream reporting, dashboards and analytics use cases.

3                   Document data lineage and transformations for critical data elements identified in the Master Data Requirements exercise, ensuring traceability that is audit-defensible and supports regulatory, governance and AI-readiness needs.

4                   Map data availability by country/Data Lake against the Product Hierarchy (to profit-centre level), building the consolidated Commercial Data Landscape view of what exists, where it sits (source only, staging, or consumption) and what is not captured at all.

5                   Document cross-system dependencies and cross-border data flows, flagging data residency, privacy and regulatory considerations to the appropriate governance forums.

6                   Data Inventory, Data Model Alignment & Gap Analysis

•                    Own and mature the data asset inventory, catalogue and data dictionary aligned to the consolidated Master Data Requirements Template – resolving “Not Specified”, “TBD” and “validation required” availability statuses through structured validation with Market IT and Data Engineering.

•                    Align business data requirements to the conceptual and logical data model of the target Data Lakehouse, ensuring the dependency between data model design and lineage tracking of critical data items is explicitly documented.

•                    Perform gap and hydration analysis by market and product, quantifying the scale of data that must be brought into the Data Lakes and providing sizing input to the Data Foundation Lead, DAE architects and Data Engineering delivery plans.

•                    Contribute to the Data Consolidation Plan towards a single source of truth, including recommended sequencing based on business priority (Top 200 fields, Horizon 1–3 priorities).

•                    Stakeholder Engagement & Workshops

•                    Work hand-in-hand with the Data Foundation Lead, Data & Analytics Programme Manager, Data Engineers, DAE/infrastructure architects, Local Market IT and Business stakeholders (Regional and Market) as the connective tissue between business data needs and technical implementation.

•                    Plan and facilitate structured interviews and cross-functional validation workshops with business, technology and data stakeholders to corroborate actual operating data flows against documented processes – establishing a fact-based, evidence-backed view rather than relying on documentation alone.

•                    Translate ambiguous business asks into clear data definitions, mapping rules and acceptance criteria that Data Engineering can build against, and play back findings to senior stakeholders in clear, visual, decision-oriented formats.

•                    Manage competing priorities across multiple markets with tact, keeping momentum in an environment of constrained capacity and differing local system landscapes.

•                    Governance, Ownership & Documentation

•                    Produce and maintain the Data Ownership & Accountability Matrix – mapping data owners, stewards and custodians per data asset and highlighting ownership gaps for remediation.

•                    Classify data assets by sensitivity and business function, aligning to Data Protection Policy, PDPA and applicable regulatory expectations (e.g. MAS guidelines) in partnership with Risk & Compliance.

•                    Ensure all data flow maps, lineage records and inventory artefacts are version-controlled, audit-ready and handed over cleanly into BAU data governance processes.

•                    Produce source to Datalake mapping document and data catalogue for missing data elements to complete Datalake hydration

 

Key Skills

•                    Data flow mapping and lineage documentation – proven ability to draw clear, accurate source-to-consumption data flow maps across complex multi-system, multi-market landscapes.

•                    Data architecture and modelling – strong grasp of conceptual/logical data models, data lake/lakehouse zone architectures (staging, conformed, consumption), data marts and MDM concepts.

•                    Data inventory, catalogue, dictionary and metadata management; familiarity with lineage/catalogue tooling (e.g. Purview, Collibra) and diagramming tools (e.g. Visio, ErWin, Lucidchart).

•                    Hands-on data profiling and validation skills (SQL essential) to verify what actually exists in source systems and lake zones.

•                    Strong stakeholder management – this is critical: able to build trust and drive outcomes across regional leadership, market business teams, Market IT and engineering, and to facilitate effective cross-functional workshops.

•                    Insurance domain knowledge – ideally commercial and specialty lines, with an understanding of policy, claims, reinsurance and underwriting data.

•                    Data quality, governance and privacy concepts, including cross-border data considerations.

•                    Clear written and visual communication – able to make complex data landscapes understandable to executives.

 

Experience & Qualification Requirements:

•                    8+ years’ experience in data architecture, data business analysis or information architecture roles, with at least:

•                    3+ years documenting data flows, lineage or data landscapes across multi-system / multi-market environments.

•                    Experience in Insurance or Financial Services, ideally within data foundation, data lake or data governance programmes.

•                    Demonstrated delivery of data inventory / data mapping / current-state data landscape assessments involving both business and IT stakeholders.

•                    Relevant certification (e.g. DAMA CDMP, TOGAF, cloud data platform certifications) preferred.


 



 

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Benison Technologies

at Benison Technologies

3 recruiters
Kiranpreet Kaur
Posted by Kiranpreet Kaur

Bengaluru (Bangalore), Pune · 3 - 10 years · ₹10L - ₹20L / yr · Profitable · Posted 7 Nov 2022

skill iconGo Programming (Golang)
skill iconPython
skill iconJava
skill iconRuby
skill iconRuby on Rails (ROR)
+4 more

Want to work with an established & growing IT company? Join team Benison to have the right challenges that will help you accelerate your career growth to the next level, faster!   

Benison Technologies was started in 2011 with a mission to revolutionize the silicon industry in India, with a host of amazing big clients like Google, Cisco, McAfee, Intel, and so on, you get to experience the best of both worlds. If you consider yourself an engineer who is capable to join our ever-growing team, then this is the right opportunity for you:  

  

Why Benison Tech?   

We have a partial acquisition from one of the biggest names in the world (well we can’t name them thanks to confidentiality) it’s one of the FAANG companies, and you can “Google” it if you like.  

Oh! & one more thing, this did not happen by accident, our team put a ton of efforts to turn this gigantic dream into a reality.  

Benison Tech has a consistent history of demonstrating growth through innovation time and again.   

We don’t stop there, we then re-invest our profits back into the initiatives for the growth of our people, our culture and the company. Now enough with us, let’s talk about the job roles & responsibilities:    

  

What you will be working on: 

  • Key contributor for developing product strategies and features. 
  • Software development for industries leading SaaS platform 
  • You will be involved closely in planning, designing, integration of client requirements. 
  • You will be working with one of the leaders in data resiliency and data protection. 

  

Here are some technical skills require:  

  • Independently own features and create feature test plans/strategies based on development and feature completion milestones.   
  • Identify quality assurance process bottlenecks and suggest actions for improvement.   
  • Design automation framework for automating feature tests.   
  • Participate in test cases, test plans, s and code reviews.  
  • Resolve functional queries coming from other business units such as support, escalation, product management, etc.   
  • Participate in bug trailing, tracking quality assurance metrics.  
  • Hands-on experience with Python-Selenium or Cypress, will be preferred.   
  • Familiarity with Test Management systems like XRay and bug tracker like JIRA tools.  

  

What we expect from you:    

  • 3-10 Years of relevant experience in QA Automation.   
  • Expert at test automation, creating test plans, test strategies for testing multiple product modules   
  • Should be able to quickly analyze failures and trace back to issues in the product or the automation suite.  
  • As a Software Development Engineer in Test you should be an expert at test automation for APIs as well as UI, creating test plans and test strategies for testing product features.  
  • You will guide and mentor junior team members by reviewing their automation code and test cases to ensure good coverage and quality of a feature  
  • Resolve functional queries coming from other business units such as support, escalation, product management, etc.  
  • Be a quick learner and be open to working on new technologies if needed.    
  • Excellent team player with strong verbal & written communication skills.    
  • Be able to step up when the situation demands such as meeting deadlines and critical production issues.    
  • Propose changes or enhancements to the framework for enabling new feature tests.  

  

 Few Skills which will add brownie points to your role  

  • Working knowledge of Dockers and Kubernetes will be an advantage   
  • Awareness of general manual and automation concepts and all types of testing methods  
  • Knowledge of the Backup or Storage domain will be an advantage.  

  

If the above fits your skill-sets and tickles your interest then read below about the additional benefits that our company offers to talented folks like you:  

  

Work Culture and Benefits    

  • Competitive salary and benefits package  
    (H1-B which means a chance to work onsite out of India)   
  • A culture focused on talent development where you get promoted within the quarterly cycle of your anniversary.         
  • Opportunity to work with cutting-edge & challenging technologies including legacy tech.      
  • Open cafeteria to grab some munchies while you work, we make sure the space feels like your second home, you can also wear pyjamas if you like.         
  • Employee engagement initiatives such as project parties, flexible work hours, and long service awards, team bonding activities within the company, extra learning and personal development trainings, because why stop your learning at one thing!   
  • Insurance coverage: Group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and your parents. (With some of the best insurance partners in India)  
  • Enjoy collaborative innovation (each members gets to innovate & think out of the box), along with highly experienced team managers who maintain diversity and work-life well-being.  
  • And of course, you get to work on projects from some of the most recognised brands within the networking and security space of the world, unlocking global opportunities to learn, grow & contribute in a way that is truly impactful yet purposeful at the same time.  

  

Still not satisfied, and want more proof?  

Head to our website https://benisontech.com/">https://benisontech.com to learn more. 

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