ETL developer

8 Minutes ago • All levels

Job Summary

Job Description

This role is for an ETL developer with approximately 5 years of experience. The successful candidate will be responsible for data extraction, transformation, and loading, including designing and developing ETL workflows. Key duties involve ensuring data quality, collaborating with data and BI teams, optimizing processes, and maintaining documentation. Knowledge of Snowflake is required, along with skills in coding, UAT testing, debugging, and fixes.
Must have:
  • Collect data from various sources including databases applications and external systems
  • Clean, filter, and format data according to business rules and requirements
  • Load the transformed data into data warehouses or databases
  • Design and develop ETL workflows and pipelines that automate data movement and transformation
  • Implement data validation and quality checks to ensure accuracy and integrity
  • Work closely with data analysts, data architects, and business intelligence teams
  • Optimize ETL processes for efficiency and scalability
  • Maintain clear documentation of ETL processes, data sources, and transformations
  • Mandatory Certification As per company stds

Job Details

ETL developer

Who can do coding UAT testing and do debugging and fixes Knowledge is Snowflake is needed as data application

About 5 yrs experience

Key Responsibilities

  • Data Extraction Collect data from various sources including databases applications and external systems
  • Data Transformation Clean filter and format data according to business rules and requirements ensuring it is usable for analysis
  • Data Loading Load the transformed data into data warehouses or databases making it accessible for reporting and analytics
  • ETL Process Design Design and develop ETL workflows and pipelines that automate data movement and transformation
  • Data Quality Assurance Implement data validation and quality checks to ensure accuracy and integrity throughout the ETL process
  • Collaboration Work closely with data analysts data architects and business intelligence teams to understand data needs and deliver effective solutions
  • Performance Tuning Optimize ETL processes for efficiency and scalability addressing any bottlenecks that may arise
  • Documentation Maintain clear documentation of ETL processes data sources and transformations for future reference and compliance
  • Mandatory Certification As per company stds

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