Data Engineer - Snowflake & Airflow

VDart Software Services; India; Remote; INR 1,200,000 - 2,400,000; Full time

Job summary

VDart Software Services is looking for a skilled Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure. You will work with data analysts, scientists, and business stakeholders to ensure reliable, high-quality data for reporting, analytics, and ML initiatives.

The role involves building data warehouses, data lakes, and data marts, ensuring governance, and optimizing ETL/ELT processes across cloud platforms.

Qualifications

• Bachelor’s degree in CS/IT/Data Engineering or related field.
• 3+ years of data engineering experience.
• Strong SQL and database design skills.
• Experience with Python, Scala or Java and ETL/ELT tools.
• Experience with cloud platforms such as AWS, Azure, or GCP.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build and optimize data integration from multiple data sources.
• Develop and maintain data warehouses, data lakes, and data marts.
• Ensure data quality, integrity, security, and governance.
• Monitor, troubleshoot, and optimize pipeline performance.
• Collaborate with analysts, data scientists, and engineers to define data needs.
• Implement data models to support reporting and analytics.
• Automate data workflows and deployment using CI/CD.
• Create technical documentation for data architecture and processes.
• Stay updated with emerging data engineering technologies.

Skills

Snowflake

Apache Airflow

Python

SQL

Git

CI/CD

Education

Bachelor's degree in CS/IT/Data Engineering or related field

Tools

Git

CI/CD

AWS

Azure

GCP

Job description

Job Summary:
We are seeking a skilled and detail-oriented Data Engineer to design, develop, and maintain scalable data pipelines and data infrastructure. The ideal candidate will work closely with data analysts, data scientists, and business stakeholders to ensure reliable, high-quality data is available for reporting, analytics, and machine learning initiatives.

Key Skills:

Snowflake , Apache Airflow, Python, SQL, Git + CI/CD

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build and optimize data integration solutions from multiple internal and external data sources.
• Develop and maintain data warehouses, data lakes, and data marts.
• Ensure data quality, integrity, security, and governance across enterprise systems.
• Monitor, troubleshoot, and optimize data pipeline performance.
• Collaborate with business analysts, data scientists, and software engineers to understand data requirements.
• Implement data models that support reporting, analytics, and operational systems.
• Automate data workflows and deployment using CI/CD best practices.
• Create technical documentation for data architecture, pipelines, and processes.
• Stay current with emerging data engineering technologies and recommend improvements.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.
• 3+ years of experience in data engineering or a similar role.
• Strong proficiency in SQL and database design.
• Experience with Python, Scala, or Java.
• Hands-on experience with ETL/ELT tools and data integration frameworks.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Knowledge of data warehousing concepts and dimensional modeling.
• Experience with version control systems such as Git.
• Strong analytical, problem-solving, and communication skills.