Whitefield Bengaluru Karnataka Sql developer Jobs – 2621 Open Jobs Today

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Power BI Dashboard Developer / BI Engineer

Hival IT Solutions
RT Nagar, Bengaluru, Karnataka

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Job details

Full-time
1 day ago

Qualifications

CI/CD
Power BI
Git
SQL
RBAC
AWS
Continuous integration
S3
GitLab
Banking
Analytics

Full job description

Role Title: Power BI Dashboard Developer / BI Engineer

Programme: DMV — Data Management Revamping (Tactical Reporting Workstream)

Reporting To: Lead Architect / Programme Lead

Experience Required:3–6 years in BI development / analytics engineering

Engagement Type: Full-time, project-based (aligned to DMV programme timeline)

Role Overview

The DMV programme is repairing, building and automating a portfolio of 14+ priority Power BI dashboards (Acquisition, Collection, Persistency, ILP Valuation, Attrition, Onboarding Funnel, Cash-In, and others) while re-platforming reporting onto a governed AWS S3 / Snowflake data foundation. The Power BI Dashboard Developer owns end-to-end delivery of assigned dashboards — from data modeling and DAX development through UAT sign-off — and works closely with data engineering, business stakeholders, and the governance workstream to ensure every dashboard is accurate, reconciled, and production-ready.

Key Responsibilities

Design and build Power BI dashboards and reports from governed Snowflake data sources, including data modeling, DAX measures, and Power Query transformations.
Translate Business Requirement Documents (BRDs) and KPI definitions into accurate, performant dashboard logic — flagging ambiguous or incomplete requirements early to avoid downstream delays.
Validate and reconcile dashboard outputs against authoritative source data before submitting for business review.
Support the "first view" → business review → UAT → sign-off → production lifecycle for each assigned dashboard, and actively drive stakeholder sign-off rather than leaving it open.
Apply row-level security, refresh scheduling, and performance optimization best practices for enterprise Power BI deployments.
Collaborate with Data Engineering to ensure dashboards consume clean, tested, and documented Snowflake models (dbt-based) rather than ad hoc extracts.
Maintain dashboard documentation: data lineage, KPI definitions used, refresh logic, and known limitations.
Participate in Data Quality triage — investigate and help resolve discrepancies flagged during reconciliation or business review.
Support re-platforming of existing dashboards from legacy/interim sources onto Snowflake as the primary source of truth.

Required Skills & Technical Experience

Power BI (Desktop & Service): advanced DAX, Power Query (M), data modeling (star schema), Row-Level Security.
Strong SQL — able to write and troubleshoot complex queries directly against Snowflake.
Working knowledge of Snowflake (warehouses, roles/RBAC, performance tuning) and AWS S3 as a data source layer.
Familiarity with dbt or similar transformation/modeling frameworks (able to consume and validate dbt-modeled datasets).
Understanding of data quality and reconciliation practices — validating counts, values, and business logic against source systems.
Experience working with CI/CD-deployed pipelines (e.g., GitLab) and troubleshooting service/pipeline issues that affect dashboard refreshes.
Comfortable working from BRDs/KPI specifications and converting them into technical build requirements.
Exposure to insurance or financial-services reporting (policy, premium, persistency, attrition, actuarial/ILP concepts) is a strong advantage given the current dashboard portfolio.

Experience Level

3–6 years of hands-on Power BI development experience, including at least one full re-platforming or migration engagement (legacy source → modern cloud warehouse). Prior experience in insurance, banking, or financial services reporting is preferred but not mandatory. Demonstrated experience owning dashboards through to business sign-off — not just build — is essential, given the current backlog of pending UAT approvals.

Soft Skills

Strong stakeholder-management skills — able to proactively chase BRD clarifications and sign-offs rather than letting them stall.
Comfortable working against fixed target-closure dates across multiple parallel dashboards.
Clear written documentation habits — KPI logic, assumptions, and known gaps must be traceable, not tribal knowledge.
Collaborative mindset — this role sits between business stakeholders, data engineering, and programme governance.

Success Measures for This Role

Assigned dashboards move from "first view" to signed-off production within agreed target closure dates.
No dashboard remains in an unresolved BRD or pending-sign-off state beyond 2 weeks without an escalated, documented reason.
Dashboards are built against governed Snowflake sources, not manual extracts, by project completion.

Reconciliation discrepancies are identified and resolved before business review, not during UAT

Work Location: In person

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