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