BI Reports Developer (Standard)

10 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Roles & Responsibilities

Position: Senior Data & BI Engineer

Location: [Hybrid]

Experience: 6–10 years

Domain: Data Engineering, Business Intelligence, Cloud Analytics

Role Overview

We are seeking a highly skilled

Databricks BI Specialist

with expertise in

AI BI Genie (or similar BI/AI-driven visualization tools)

to design, develop, and optimize

business intelligence solutions on AWS cloud

. The role requires strong

data modeling, performance tuning, and architectural knowledge of data engineering pipelines

to deliver scalable and insightful analytics for business stakeholders.

Key Responsibilities

BI & Analytics Delivery

  • Develop and manage BI dashboards and AI-driven insights using Databricks AI BI Genie (or equivalent BI/ML-powered analytics tools).
  • Translate business requirements into technical BI solutions with strong storytelling and visualization.
  • Design and optimize semantic layers, data marts, and curated datasets for BI consumption.
  • Enable self-service BI & AI-driven insights for business users.

Data Engineering & Modeling

  • Collaborate with data engineers to design scalable data pipelines in Databricks on AWS.
  • Define and implement star schema, snowflake, and data vault models for analytical workloads.
  • Ensure data consistency, lineage, and governance via Unity Catalog (or equivalent metadata framework).
  • Optimize query performance, indexing, caching, and compute resource allocation for BI workloads.

Cloud & Architecture

  • Design BI solutions aligned with AWS cloud architecture (S3, Redshift, Glue, EMR, Athena, etc.).
  • Work closely with data architects to ensure scalability, reliability, and performance of BI systems.
  • Ensure compliance with data security, privacy, and governance standards.

Collaboration & Leadership

  • Partner with Product Owners, Data Architects, and Business Analysts to define BI roadmap.
  • Guide junior engineers in data modeling and BI development best practices.
  • Contribute to performance benchmarking and architectural reviews for BI workloads.

Required Skills & Experience

  • 6–10 years of experience in BI & Data Engineering on cloud platforms.
  • Strong expertise in Databricks (Delta Lake, SQL, PySpark) and BI tools (Databricks Genie, Tableau, Power BI, or Looker).
  • Solid understanding of AWS cloud services (S3, Redshift, Glue, Lambda, Athena, EMR).
  • Advanced knowledge of data modeling techniques (star schema, snowflake, normalized, data vault).
  • Strong SQL optimization and performance tuning experience.
  • Experience with architectural concepts in large-scale data platforms (batch + streaming).
  • Familiarity with ML/AI-based BI features (e.g., AI-driven insights, automated narrative generation).
  • Excellent communication and stakeholder management skills.

Nice to Have

  • Experience with Unity Catalog or similar governance frameworks.
  • Exposure to AI/ML model integration with BI tools.
  • Knowledge of DevOps & CI/CD for BI pipelines (Terraform, GitHub Actions, Jenkins).
  • Background in financial services, retail, or healthcare analytics (domain-specific BI).

Education

  • Bachelor’s or Master’s in Computer Science, Data Engineering, Information Systems, or related field.
  • Relevant certifications in AWS, Databricks, or BI tools are a plus.

Experience

  • 4.5-6 Years

Skills

  • Primary Skill: BI & Visualization Development
  • Sub Skill(s): BI & Visualization Development
  • Additional Skill(s): AWS - CloudFormation, Power BI, AI/ML Development, BI & Visualization Development, databricks, CI/CD

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Infogain

IT Services and IT Consulting

Los Gatos CA

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