ETL Developer
1 day ago
Job Title: ETL Developer
Job Summary
The ETL Developer is responsible for designing, developing, and maintaining data integration solutions that enable the extraction, transformation, and loading of data from various sources into data warehouses, data lakes, or other storage systems. This role ensures data quality, consistency, and availability to support business intelligence (BI), analytics, and reporting initiatives.
Key Responsibilities
- Design and develop ETL processes to extract data from multiple sources (databases, APIs, flat files, etc.), transform it according to business rules, and load it into target data systems (e.g., data warehouse).
- Build and maintain data pipelines to support analytics, reporting, and data science workloads.
- Optimize ETL workflows for performance, scalability, and reliability.
- Perform data profiling, cleansing, and validation to ensure data accuracy and consistency.
- Collaborate with data analysts, BI developers, and stakeholders to understand data requirements and deliver reliable datasets.
- Monitor and troubleshoot ETL jobs to ensure timely and accurate data delivery.
- Document ETL processes, data mappings, and data flow diagrams.
- Implement best practices for data governance, version control, and process automation.
- Work with cloud and on-premise data environments (e.g., AWS, Azure, Google Cloud, SQL Server, Oracle, Snowflake, etc.).
Required Skills and Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- 3+ years of experience in ETL development or data engineering.
- Strong proficiency with ETL tools such as:
- Informatica PowerCenter / Cloud Data Integration
- Talend
- Microsoft SSIS (SQL Server Integration Services)
- Apache NiFi, DataStage, or similar platforms
- Advanced SQL skills for data extraction and transformation.
- Experience working with data warehouses (e.g., Snowflake, Redshift, BigQuery, Synapse).
- Familiarity with scripting languages (Python, Shell, etc.) for data automation.
- Understanding of data modeling concepts (Star/Snowflake schemas).
- Knowledge of data governance, metadata management, and data quality principles.
- Strong problem-solving and analytical skills.
- Excellent communication and documentation abilities.
Job Types: Full-time, Permanent
Pay: $75,000.00-$90,000.00 per year
Benefits:
- Work from home
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