₹11L – ₹25L a year estimatetypical for IT Jobs in India, 825 posts
Posted 11 days ago
Free · takes a minute · your resume fills your profile
CoreHRx never asks candidates for money. If anyone does, .
Role at a glance
Experience
3–6 years
Must-have skills
Color TheoryDatabricksMicrosoft AzurePower BIPythonSQL
Work mode
Hybrid
How well do your skills match this job?
Sign in to see your fit: the skills, experience and location this job asks for, checked against your profile.
Job description
Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Synopsis of the role :
As a Data Visualization & Data Engineer, you will bridge the gap between complex data engineering and strategic business intelligence. You are responsible for designing, developing, and maintaining high-performance Power BI solutions that turn raw data into actionable stories. Working closely with Lead Engineers and Architects, you will leverage the Azure data stack to ensure that the data powering your visualizations is accurate, scalable, and optimized for end-user performance.
What you’ll do
Your focus will be on the end-to-end journey of data—from ingestion to the final dashboard.
Dashboard & Report Development: Design and build interactive, visually compelling Power BI reports and dashboards that adhere to UI/UX best practices and branding standards.
Advanced DAX & Power Query: Author complex DAX (Data Analysis Expressions) for sophisticated business logic and use Power Query (M) to perform advanced data shaping and cleaning.
Semantic Data Modeling: Translate business requirements into robust semantic models using Star Schemas and dimensional modeling to ensure "single source of truth" reporting.
Performance Optimization: Tune Power BI report performance through efficient data connectivity (Import vs. DirectQuery), column-level optimization, and DAX query refactoring.
Data Pipeline Collaboration: Work with Data Engineers to ensure the Medallion Architecture (Bronze/Silver/Gold) is optimized for BI consumption, occasionally writing PySpark or SQL to refine Gold-layer tables.
Data Governance & Security: Implement Row-Level Security (RLS) and manage workspace permissions within the Power BI Service and Unity Catalog to ensure data privacy.
Automated Testing & DevOps: Participate in the full CI/CD lifecycle using Azure DevOps, implementing version control for .pbix files (using Power BI Projects) and automating deployment schedules.
What experience you need
Visual Engineering Experience: 3–6 years of hands-on experience in BI development, with at least 3 years focused on Power BI.
Azure BI Ecosystem: 4+ years working within Azure (Azure SQL, Synapse, or Databricks) and the Power BI Service (Workspaces, Gateways, Capacities).
Data Transformation: 3+ years of experience with Power Query and SQL for data preparation.
Relational Mastery: Deep understanding of SQL window functions, joins, and execution plans to validate and troubleshoot the data underlying your reports.
Modeling Foundations: Proven expertise in Dimensional Modeling (SCD types, Fact/Dimension tables) and architecting scalable Power BI datasets.
Education/Certifications: Bachelor’s degree in CS, Data Analytics, or a related field.
Microsoft Certified: Power BI Data Analyst Associate (PL-300) is highly preferred.
Azure Data Engineer Associate (DP-203) is a significant plus.
What could set you apart
Advanced Analytics Integration: Experience embedding Python or R scripts within Power BI for advanced statistical modeling or custom visuals.
Paginated Reports: Proficiency in Power BI Report Builder for pixel-perfect, operational reporting.
Modern Databricks Integration: Experience using Databricks SQL and Delta Sharing as high-performance data sources for Power BI.
Embedded Analytics: Knowledge of Power BI Embedded for integrating dashboards into custom web applications.
Data Storytelling: A strong portfolio demonstrating the ability to use color theory and information hierarchy to drive user engagement and decision-making.
Infrastructure as Code (IaC): Familiarity with using Terraform or specialized tools to automate the provisioning of Power BI workspaces and capacities.
#India
We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
IND-Bangalore-Equifax-Analytics
Function:
Function - Data and Analytics
Schedule:
Full time
Key skills
Required
Color TheoryDatabricksMicrosoft AzurePower BIPythonSQLTerraformPower Query
This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.
Questions you may be asked
What is the difference between mutable and immutable types in Python?
What is the difference between a list and a tuple?