Hire ETL Developer who can design, implement, and manage data workflows that power enterprise analytics and reporting. This job description template helps you craft a compelling and structured listing that attracts highly qualified candidates skilled in data integration, transformation, and optimization.
About the company
Introduce your company’s values, work environment, and the role ETL plays in your data strategy.
At [Company Name], we operate as a data-first organization committed to turning raw information into reliable business intelligence. Our engineering culture promotes technical excellence, cross-functional collaboration, and continuous innovation. ETL developers at [Company Name] play a vital role in building secure and scalable data pipelines that enable fast, accurate, and impactful decision-making across the enterprise.
Provide a clear summary of the position, outlining the primary responsibilities and strategic importance.
We are hiring ETL Developer who can architect and maintain robust data extraction, transformation, and loading processes across diverse data systems. You will work closely with data architects, analysts, and business stakeholders to ensure that data flows are efficient, reliable, and aligned with our enterprise data strategy. This role is ideal for someone with strong SQL skills, deep knowledge of ETL tools, and a passion for building scalable data infrastructure.
List specific, clearly defined responsibilities that reflect day-to-day operations and strategic contributions.
- Design and build ETL workflows using tools such as SSIS, Informatica, Talend, or equivalent platforms
- Create and maintain technical documentation including data flow diagrams, transformation logic, and mapping specifications
- Develop automated, scalable data pipelines for ingesting and transforming data from diverse sources into target data warehouses or data lakes
- Implement robust error handling, logging, and data validation checks to ensure data integrity and traceability
- Optimize ETL performance through indexing, partitioning, and parallel processing strategies
- Collaborate with data architects to build dimensional data models and support reporting layers
- Monitor ETL job execution, resolve failures, and enhance reliability using alerting and recovery mechanisms
- Support analytics and reporting teams by delivering clean, structured, and accessible datasets for BI platforms
Define the core qualifications and technical expertise necessary for the candidate to succeed in the role.
- Bachelor’s degree in Computer Science, Information Systems, or related field
- 4–6 years of hands-on experience developing and supporting ETL processes in a production environment
- Proficiency in SQL development and working knowledge of relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL
- Experience with enterprise ETL tools (e.g., Microsoft SSIS, Informatica PowerCenter, IBM DataStage, Talend)
- Strong understanding of data warehousing principles, dimensional modeling, and star/snowflake schema design
- Familiarity with cloud-based data platforms such as AWS Redshift, Azure Data Factory, Snowflake, or Google BigQuery
- Proficiency in scripting languages (e.g., Python, PowerShell, Shell scripting) for automation and custom data operations
- Solid knowledge of data quality, governance, and compliance best practices
Highlight complementary skills that enhance the candidate’s ability to contribute to broader data initiatives.
- Experience with big data tools (Hadoop, Hive, Spark, Kafka) for large-scale data ingestion and processing
- Understanding of event-driven architectures and real-time streaming integration patterns
- Exposure to BI platforms such as Power BI, Tableau, or Qlik to support data consumption use cases
- Familiarity with API integration and RESTful services for pulling data from modern SaaS applications
- Experience with version control (Git) and DevOps practices for CI/CD pipeline integration
- Knowledge of data encryption, masking, and other data privacy protection techniques
- Certification in ETL tools or cloud platforms (e.g., Microsoft, AWS, Snowflake)
- Ability to communicate complex technical solutions to both technical and non-technical audiences
Use this section to position your organization as a rewarding workplace that values technical expertise and long-term career growth.
- Competitive salary with annual performance-based bonuses
- Health, dental, and vision insurance with employer contributions and dependent coverage
- Flexible work options including remote and hybrid schedules
- Paid time off, sick leave, and company holidays
- Learning and development support for certifications, training programs, and conferences
- Access to modern data engineering tools, cloud platforms, and enterprise licenses
- Cross-functional collaboration with data scientists, analysts, and architects
- Company-sponsored workshops, data community events, and knowledge-sharing sessions
- Retirement planning, equity participation (if applicable), and long-term career growth support
- Wellness programs, mental health resources, and employee assistance services
This ETL Developer job description template is designed to help you attract experienced professionals who can build and optimize data pipelines for scalable, secure, and high-performing enterprise environments. Customize each section to reflect your data architecture, tool stack, and organizational goals. Hire ETL Developer who helps transform your raw data into trusted business insights.
