Sr. Data Engineer (BI)

NexTurn Inc.

Hyderabad

On-site

INR 800,000 - 1,200,000

Full time

14 days+

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Job summary

A tech analytics company based in Hyderabad is seeking a skilled professional to design and develop production-grade dashboards using Power BI. The ideal candidate should possess expert-level knowledge of Power BI and strong SQL skills. Responsibilities include creating business-friendly data models, optimizing dashboard performance, and collaborating with data teams to ensure accurate metric calculations. A Bachelor's degree in a relevant field is also required. This role offers a dynamic work environment and opportunities for growth.

Qualifications

  • Proven experience building enterprise-scale analytics solutions and dashboards.
  • Expert-level proficiency in Power BI including DAX measures, calculated columns, and Power Query.
  • Strong understandings of data visualization best practices and dashboard UX.

Responsibilities

  • Design and develop production-grade dashboards using Power BI or Tableau.
  • Create semantic layers and business-friendly data models for analytics.
  • Collaborate with product owners to define and implement key business metrics.

Skills

Power BI
SQL
DAX
Data Modelling
Tableau
Data Visualization
ETL/ELT
Python

Education

Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field

Tools

Power BI
Tableau
Looker

Job description

Key Skills
  • Key Skills: Power BI, SQL, DAX, Data Modelling, Tableau, Dashboard, Data Visualization, ETL/ELT.
  • Proven experience building enterprise-scale analytics solutions and dashboards.
  • Expert-levelproficiencyinPower BIincluding DAX measures, calculated columns, Power Query (M), and data modeling.
  • Strong understandingofdata visualization best practices, chartselection, dashboard UX, and storytelling with data.
  • AdvancedSQLskills for analytical queries, data exploration, and validation.
  • Experience designingsemantic layersand business-friendly data models (star schema, metrics layers).
  • Strong knowledgeofanalytics platformssuch as Power BI or Tableau or Looker, or similar tools and their integration patterns.
  • Understandingofmetrics and KPI frameworks- ability to translate business requirements into measurable metrics.
  • Experience collaborating with data engineering teams onend-to-endpipelines: understanding source to target mappings,ETL/ELT pipelines, and refresh/orchestration patterns.
  • Experience with data at scale and performance optimization techniques for large datasets.
  • Experience withAI-powered analytics toolsand using AI to accelerate dashboard development and insights generation (Preferred).
  • Knowledge ofPythonfor advanced data preparation, custom calculations, or statistical analysis (Preferred).
  • Knowledge ofreal-time dashboardsand streaming data visualization (Preferred).
  • Domainexpertisein Industrial Operations, Customer Service, ITSM, or SecOps analytics (Preferred).
Qualifications
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
Job Description
  • Design and develop production-grade dashboards, KPIs, and metrics usingPower BI(DAX, Power Query, data modeling)or Tableauor Looker.
  • Create semantic layers and business-friendly data models that enable self-service analytics for end users.
  • Define and implement key business metrics and KPIs in collaboration with product owners and domain experts.
  • Build interactive visualizations that integrate with ServiceNow platform and drive insight-to-action workflows.
  • Optimizedashboard performance, implement row-level security, and ensure scalability for enterprise deployments.
  • Design and implement upstream data preparation flows (Power Query, dataflows, SQL/dbtlayers) to shape data for dashboards, reducing manual dependence on Data Engineers for every change.
  • Perform data profiling and validation, define data quality rules for key KPIs, and work with Data Engineers to embed these checks into pipelines feeding BI semantic models.
  • Work closely with Data Engineers and Data Modelers to understand data structures and ensureaccurate metric calculations.
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