Design and build the Looker LookML data models for the FinOps platform billingmodel dimensions and measures for billingattributed recommendationsmodel budgetsmodel and executivemodel all sourced from BigQuery serving layer tables
Configure Looker User Attributes businessgroupscope businessunitscope and implement accessfilter and alwaysfilter in LookML to enforce RowLevel Security within all embedded dashboards ensuring every user sees only their authorised Business Group and Business Unit data
Build all six FinOps Inform dashboards as Looker Embedded experiences within the Nextjs application shell Cost Visibility multicloud by BGBU Budget Management tracksforecast Commitment Hub SPRICUD coverage Showback Chargeback PL by BU Executive Dashboard ROIYoYtrends Recommendations crosscloud advisor insights
Implement Looker Signed SSO Embed URL generation in the Nextjs application passing user identity and Business Role attributes from OKTA session to Looker at embed time
Optimise LookML models for BigQuery query performance use aggregate tables BI Engine caching strategies and efficient dimensionmeasure design to achieve subsecond dashboard load times
Partner with the Data Engineering Lead to ensure BigQuery serving layer table schemas and RLS policies are correctly reflected in LookML
Work with the DTS Frontend Engineers to integrate Looker Embed SDK within the Nextjs application shell
Basic Qualifications
Degree in Computer Science or equivalent
2 years Looker development and embedding experience
2 years SQL and data modeling
Experience configuring Looker User Attributes and accessfilter or alwaysfilter for multitenant or rolebased data access control
Experience with Looker Signed SSO Embed and the Looker Embed SDK
Strong understanding of BigQuery as a Looker data source PDTs aggregate tables BI Engine optimisation
Experience designing financial or cost management dashboards budget vs actual trend analysis drilldown
Familiarity with Nextjs or React for Looker embed integration
Familiar with REST API concepts for Looker API usage
Strong data literacy able to understand multicloud billing data amortisation concepts and cost attribution logic
Additional Qualifications
Experience with other BI tools Looker Studio Tableau
Familiarity with FinOps concepts cloud commitment discounts showbackchargeback BGBU attribution
Knowledge of Google BigQuery BI Engine and query optimisation
Familiarity with project management tools
Familiarity with Lucidchart for data flow and dashboard wireframing
Skills:
Mandatory Skills : Dimensional Data Modeling, GCP BigQuery, GCP Cloud SQL, Google Looker
About Company:
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling recent ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltm.com/careers/recruitment-fraud-alert
📌 Specialist - Data Engineering (Kolkata)
🏢 LTM
📍 Kolkata
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