Data Engineer

Talent Corner Hr Services; Indore District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Vected Technologies in Indore invites a Data Engineer to design, develop, and maintain scalable ETL/ELT pipelines, integrating data from multiple sources and optimizing data workflows using modern cloud data platforms.

You will work with Python, SQL, Databricks, Snowflake, and Azure DevOps, contributing to data architecture and performance improvements in a fast-paced, collaborative environment.

Qualifications

• 1+ years of professional experience in Data Engineering or related role.

Responsibilities

• Design, develop, test, and maintain scalable ETL/ELT pipelines and data integration workflows.

Skills

Python

SQL

ETL development

Data integration

Data architecture

Data modeling

Troubleshooting

Analytical skills

Collaborative environment

Fast-paced

Tools

Databricks

Snowflake

Azure DevOps

Microsoft Fabric

SQL Server

Job description

About the Role

Vected Technologies is seeking a Data Engineer to join its growing technology team in Indore. The role focuses on developing reliable and scalable data pipelines, integrating data from multiple sources, optimizing data workflows, and working with modern cloud data platforms.

Key Responsibilities

• Design, develop, test, and maintain scalable ETL/ELT pipelines and data integration workflows.
• Build and optimize data pipelines using Python, SQL, and SQL Server.
• Work with Databricks and Snowflake for data processing, transformation, storage, and analytics workloads.
• Implement data validation, quality checks, monitoring, and error-handling mechanisms.
• Contribute to data architecture, data modeling, and performance optimization initiatives.
• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
• Use Azure DevOps and Microsoft Fabric as part of modern data engineering workflows.
• Troubleshoot pipeline and data issues and continuously improve reliability, scalability, and performance.

Required Qualifications & Skills

• 1+ years of professional experience in Data Engineering or a closely related role.
• Strong hands-on experience with ETL development and data integration.
• Proficiency in Python and SQL, with practical experience in SQL Server.
• Hands-on experience with Databricks and Snowflake.
• Working knowledge of Azure DevOps and Microsoft Fabric.
• Good understanding of data architecture, data modeling, and pipeline optimization.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work effectively in a fast-paced, collaborative environment.

Preferred Attributes

• Experience with cloud-based data platforms and enterprise data environments.
• Strong ownership mindset with attention to data quality and production reliability.
• Ability to communicate technical concepts clearly to technical and non-technical stakeholders.
• Passion for building scalable, maintainable, and high-performance data solutions.