Job Description
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.
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