Senior Business Intelligence Developer/BI Data Engineer || Remote

Job Title: Senior Business Intelligence Developer/BI Data Engineer/Remote

Job Summary

We are seeking an experienced Senior BI / ELT Developer to design, develop, and optimize enterprise data pipelines and business intelligence solutions. The ideal candidate will have strong experience building ELT/ETL processes, data models, and reporting solutions to support analytics and data-driven decision-making.

This role will work closely with data engineers, analysts, and business stakeholders to transform raw data into actionable insights using modern BI and data integration tools.

Key Responsibilities

• Design, develop, and maintain ELT/ETL pipelines to ingest and transform data from multiple sources.

• Build and optimize data warehouse and data mart solutions.

• Develop BI dashboards, reports, and visualizations for business users.

• Implement data modeling techniques (star schema, snowflake schema) for analytics platforms.

• Ensure data quality, consistency, and performance optimization across data pipelines.

• Collaborate with stakeholders to understand reporting requirements and deliver scalable solutions.

• Troubleshoot and optimize query performance and data processing workflows.

• Integrate data from cloud platforms, databases, APIs, and third-party systems.

• Document data architecture, data flows, and transformation logic.

Required Skills

• 7+ years of experience in Business Intelligence, Data Warehousing, or Data Engineering.

• Strong experience with ELT/ETL tools (Informatica, Talend, SSIS, dbt, or similar).

• Proficiency in SQL and database development.

• Experience with data warehouses such as Snowflake, Redshift, BigQuery, or SQL Server.

• Hands-on experience with BI tools such as Power BI, Tableau, or Looker.

• Knowledge of data modeling and dimensional modeling techniques.

• Experience working with large datasets and performance optimization.

Preferred Qualifications

• Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).

• Knowledge of Python or scripting for data processing.

• Familiarity with data governance and data quality frameworks.

• Experience implementing modern ELT architectures using tools like dbt, Airflow, or Fivetran.

• Experience working in Agile or data product teams.