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Urgent! Intellify Solutions - Data Engineer - ETL/Python Vacancy | Intelify Solutions

Intellify Solutions Data Engineer ETL/Python



Job description

<p><p><b>Description : </b><br/><br/><b>Key Responsibilities : </b></p><p><p><b><br/></b></p>- Collaborate with engineers, analysts, and technical managers to build reliable data pipelines and ETL processes.<br/><br/>- Extract, transform, and load data from multiple sources into the analytics platform using tools like Fivetran or Airbyte.<br/><br/>- Implement and maintain data models optimized for both transactional and analytical processing.<br/><br/>- Manage and optimize Snowflake Cloud Data Warehouse performance and storage.<br/><br/>- Develop and maintain data integration workflows and automation using Python.<br/><br/>- Ensure data quality, accuracy, and consistency across all systems.<br/><br/>- Support DevOps and CI/CD pipelines for efficient deployment and release management.<br/><br/>- Evaluate and implement best practices for data governance, security, and warehouse management.<br/><br/><b>Required Skills & Qualifications :</b></p><p><p><b><br/></b></p>- Bachelors degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.<br/><br/>- 3-5+ years of experience as a Software Engineer or Data Engineer in a fast-paced, technical environment.<br/><br/>- Proven experience with Snowflake or other cloud-based data warehouses.<br/><br/>- Advanced SQL expertise - strong ability to write, optimize, and troubleshoot complex queries.<br/><br/>- 2-3 years hands-on experience with Python and data extraction tools such as Fivetran or Airbyte.<br/><br/>- Familiarity with version control tools - dbt and GitHub preferred.<br/><br/>- Excellent communication skills and ability to influence cross-functional teams.<br/><br/>- Proven ability to adapt quickly and thrive in a dynamic work environment.<br/><br/><b>Desired Skills :</b></p><p><p><b><br/></b></p>- Experience with event tracking tools (e.g., Segment, Tealium).<br/><br/>- Understanding of data modeling best practices for transactional and analytical systems.<br/><br/>- Knowledge of modern data architecture, ETL frameworks, and pipeline orchestration tools.</p><br/></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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