Python Data Developer

Elabs Infotech; Pune District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Elabs Infotech in Pune is seeking a Python Data Engineer with 6-12 years of experience to build and automate data pipelines, integrate data platforms, and implement data quality, validation, and monitoring solutions.

You will design workflows with Apache Airflow, work in Linux/Unix environments, and collaborate with data engineers and architects to deliver scalable, reliable data infrastructure in a hybrid work setup.

Qualifications

• 6–12 years of experience in Python data engineering or related fields.
• Experience building data pipelines and ETL processes.
• Strong Python and SQL skills.
• Experience with Apache Airflow and data validation.

Responsibilities

• Build and automate data pipelines using Python.
• Develop data processing and automation for enterprise data platforms.
• Integrate Python apps with databases, data platforms and APIs.
• Develop data validation, reconciliation, and data quality frameworks.
• Design and orchestrate workflows with Apache Airflow.
• Implement data monitoring and alerting solutions.
• Optimize pipelines for performance, scalability, and reliability.
• Troubleshoot data pipelines and production issues.
• Work in Linux/Unix environments.
• Collaborate with data engineers, architects, and other teams.

Skills

Python

SQL

Airflow

Data Pipelines

Data Validation

APIs

Linux/Unix

Data Monitoring

Tools

Snowflake

Big Data

Job description

Experience: 6 - 12 Years

Locations: Pune

Work Mode: Hybrid

Job Summary

We are looking for a Python Data Engineer with strong experience in Python, SQL, data engineering, and workflow orchestration. The candidate will be responsible for building automated data pipelines, integrating data platforms and APIs, and implementing data quality, validation, reconciliation, and monitoring solutions.

Key Responsibilities

• Build and automate data pipelines using Python
• Develop data processing and automation solutions for enterprise data platforms
• Integrate Python applications with databases, data platforms, and APIs
• Develop data validation, reconciliation, and data quality frameworks
• Design and orchestrate workflows using Apache Airflow
• Implement data monitoring and alerting solutions
• Optimize pipelines for performance, scalability, and reliability
• Troubleshoot data pipeline and production issues
• Work with Linux/Unix environments
• Collaborate with data engineers, architects, and other technical teams

Required Skills

• Strong hands-on experience in Python Data Engineering
• Strong SQL skills
• Hands-on experience with Apache Airflow
• Experience in data engineering / ETL / data pipeline development
• Experience with data validation, reconciliation, and monitoring
• Experience integrating databases and APIs using Python
• Good working knowledge of Linux/Unix

Good to Have

• Snowflake experience
• Exposure to Big Data technologies
• Experience with enterprise data platforms
• Experience with data quality and observability tools