Business intelligence Developer - 2

BU Consultants; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A consulting firm in Bengaluru is looking for a Mid-Senior Level Data Engineer. You will design and maintain ETL pipelines, optimize data warehouses, and develop analytics systems using AWS services. The ideal candidate has over 5 years of experience in business intelligence, strong skills in SQL and Python, and expertise with big data technologies. This is a full-time role in a dynamic environment.

Qualifications

• 5+ years of experience in business intelligence/analytic roles.
• Expertise in building and optimizing ETL pipelines and data warehousing solutions.
• High proficiency in SQL and Python.

Responsibilities

• Design, build, and maintain robust ETL/ELT pipelines.
• Develop and optimize data warehouses and analytics systems using AWS services.
• Generate actionable insights from complex datasets.

Skills

SQL

Python

AWS cloud services

ETL pipelines

Data warehousing

Big data technologies

Education

Bachelor's degree in Computer Science

Tools

AWS (Redshift, S3, EMR, Glue)

Business intelligence tools (QuickSight, Tableau, Looker)

Spark

Hadoop

Job description

Base pay range

Key Responsibilities

• Design, build, and maintain robust ETL/ELT pipelines to process large volumes of streaming and batch data from Creator Success platform
• Develop and optimize data warehouses, data lakes, and real-time analytics systems using AWS services (Redshift, S3, Kinesis, EMR, Glue)
• Generate actionable insights from complex datasets to drive product roadmap and business strategy

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in business intelligence/analytic roles with proficiency in SQL, Python, and/or Scala
• Strong experience with AWS cloud services (Redshift, S3, EMR, Glue, Lambda, Kinesis)
• Expertise in building and optimizing ETL pipelines and data warehousing solutions
• Proficiency with big data technologies (Spark, Hadoop) and distributed computing frameworks
• Experience with business intelligence tools (QuickSight, Tableau, Looker) and data visualization best practices
• High proficiency in SQL and Python
• Experience with AWS cloud services (Redshift, S3, EMR)

Seniority level: Mid-Senior level; Employment type: Full-time; Job function: Information Technology; Industries: Business Consulting and Services.