Python ETL Developer

Lonvec Technologies Private Limited; Pune District; On-site; INR 1,000,000 - 1,600,000; Full time

Job summary

Lonvec Technologies Private Limited is seeking an experienced Python ETL Developer to design, develop, and maintain ETL pipelines for enterprise data platforms. The role emphasizes Python programming, data extraction, transformation, and loading, with a focus on scalable workflows and data quality across multiple systems.

The ideal candidate will build automated data processing solutions, write optimized SQL queries, validate data, and collaborate with data engineers, analysts, and business

Qualifications

• Experience with data warehousing concepts and architectures.

Responsibilities

• Develop and maintain ETL pipelines using Python.
• Design data extraction, transformation, and loading workflows.
• Build automated data processing solutions.
• Write and optimize complex SQL queries.
• Perform data validation and quality checks.
• Integrate data from multiple sources and systems.
• Work with data warehouses and cloud data platforms.
• Troubleshoot ETL failures and performance issues.
• Develop reusable data processing components.
• Collaborate with data engineers, analysts, and business teams.

Skills

Python

ETL pipelines

SQL queries

Data validation

Data integration

Data processing workflows

Job description

We are looking for an experienced Python ETL Developer to design, develop, and maintain efficient ETL pipelines and data integration solutions for enterprise data platforms. The ideal candidate will have strong experience in Python programming, data extraction, transformation, and loading processes. The role involves building scalable data workflows, optimizing data processing, and ensuring data quality across multiple systems.

• Develop and maintain ETL pipelines using Python
• Design data extraction, transformation, and loading workflows
• Build automated data processing solutions
• Write and optimize complex SQL queries
• Perform data validation and quality checks
• Integrate data from multiple sources and systems
• Work with data warehouses and cloud data platforms
• Troubleshoot ETL failures and performance issues
• Develop reusable data processing components
• Collaborate with data engineers, analysts, and business teams

Requirements

• Data Warehousing