An ETL developer builds the processes that extract data from source systems, transform it into a consistent format and load it into a data warehouse or reporting database, on schedule and with checks that the data is complete and correct.
Hire ETL developers to move and transform data reliably between systems. Our developers build and maintain ETL and ELT processes with SSIS, Azure Data Factory and SQL, ensuring data arrives accurate and on time.
Every one of our ETL developers is technically vetted, communicates clearly in English and works with sufficient time-zone overlap for daily collaboration. Choose full-time, part-time or hourly engagement, start quickly and scale your team as your roadmap evolves.
Skills our ETL developers bring to your team from day one.
Share your requirements, review hand-picked profiles, interview the candidates you like and onboard within days. Your developer works as part of your team, using your tools and processes, while we take care of HR, infrastructure, security and replacements.
Engagement models: Full-time dedicated (around 160 hours per month), part-time (around 80 hours per month) and hourly or project-based arrangements.
Our ETL developers work with SSIS, Azure Data Factory, Microsoft Fabric pipelines and dataflows, SQL Server and T-SQL stored procedures, dbt, and Python for custom transformations. They also connect to APIs, flat files and SaaS sources, and document lineage and data mappings for your team.
Billing is monthly, and you can add people or reduce hours with reasonable notice as your needs change. For wider platform design, see hire data engineers; for reporting on top of the warehouse, hire Power BI developers. Related service: data engineering.
Ready to hire ETL developers? Tell us about your sources, warehouse and tools, and we will share suitable ETL developers. Share your requirements.
Last updated: October 2026 · Prominent AI Services LLP engineering team
Common questions about hiring ETL developers through Prominent AI Services LLP.
Yes. They migrate SSIS workloads to Azure Data Factory or Fabric pipelines.
They build validation rules, reconciliation checks and alerts into every pipeline.
Yes. You can add resources or reduce hours with reasonable notice as your project needs change.
Rates depend on experience, tools and engagement model. We share rates with each profile; part-time options suit ongoing maintenance.
Yes. They switch full loads to incremental loads, tune SQL and indexes, run work in parallel and remove unnecessary steps.
Databases such as SQL Server, Oracle, MySQL and PostgreSQL, ERP and CRM systems, REST APIs, flat files, Excel and cloud storage.
Yes. They maintain and fix existing SSIS packages and can plan a gradual migration to cloud pipelines when you are ready.