Senior Business Intelligence Developer

3 days ago


Gurgaon, Haryana, India EXL Full time

**Job Summary**

We are seeking a highly skilled Senior Business Intelligence Developer to join our team at EXL. The ideal candidate will have extensive experience in ETL development, data analysis, and reporting, with a strong background in AWS services and data visualization tools.

About the Role:

This role involves designing and developing ETL pipelines, creating reports and dashboards, and ensuring data integrity. You will work closely with data engineers, business analysts, and stakeholders to understand data needs and deliver tailored solutions.

Key Responsibilities:

  • Develop and maintain scalable ETL workflows to extract data from various sources, transform it based on business requirements, and load it into data warehouses or databases.
  • Write complex SQL queries to extract, manipulate, and analyze data for reporting and ad-hoc business requests.
  • Create, optimize, and automate reports and dashboards using Power BI, or AWS QuickSight to deliver actionable insights to stakeholders.
  • Implement data validation checks and troubleshoot issues to ensure data accuracy, consistency, and quality.
  • Collaborate with cross-functional teams to understand data needs and deliver customized solutions.
  • Optimize ETL processes and queries for performance and scalability.
  • Maintain clear documentation of ETL processes, data models, and reporting logic.

Requirements:

  • 5+ years of experience in ETL development, data analysis, or a similar role.
  • Expert-level proficiency in writing and optimizing complex SQL queries (e.g., joins, subqueries, window functions).
  • Extensive hands-on experience with AWS services such as S3, Redshift, Glue, Lambda, or Athena for data storage and processing.
  • Advanced proficiency in data visualization and dashboard creation using Power BI.
  • Familiarity with scripting languages like Python or Bash for automation and data manipulation is a must.
  • Strong understanding of data warehousing, data modeling, and ETL best practices.


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