Data Engineer

AiVantage.Global; Ahmedabad District; On-site; INR 600,000 - 1,000,000; Full time

Job summary

A leading technology company located in Gujarat is searching for a skilled Data Engineer to join their team. The ideal candidate will have 3-5 years of experience and a strong knowledge of both on-premises data technologies and cloud services, particularly Azure. Responsibilities include designing and maintaining data pipelines, implementing ETL processes, and ensuring data quality. This role offers the opportunity to work in a fast-paced environment with cross-functional teams to drive data initiatives.

Qualifications

• 3-5 years of experience in data engineering or a related field.
• Strong knowledge of data integration and data warehousing.
• Familiarity with version control systems like Git.

Responsibilities

• Design and maintain data pipelines for data integration.
• Implement ETL/ELT processes for data warehouses.
• Collaborate with data scientists and analysts to understand requirements.

Skills

ETL/ELT processes

Azure Data Factory

SQL

Python

Data Integration

Education

Bachelor’s degree in Computer Science

Tools

Azure Synapse Analytics

SQL Server

Power BI

Tableau

Snowflake

Job description

Job Title: Data Engineer (3-5 years experience)

Job Summary

We are seeking a highly skilled Data Engineer with 3-5 years of experience to join our dynamic team. The ideal candidate will have a strong background in both on-premises data engineering technologies and Cloud services. You will be responsible for designing, implementing, and maintaining scalable data pipelines, ensuring data quality, and supporting various data integration initiatives.

Key Responsibilities

• Design, develop, and maintain data pipelines to support data integration from various sources.
• Implement ETL/ELT processes for extracting, transforming, and loading data into data warehouses and data lakes.
• Work with Azure cloud services including Azure Data Factory, Azure Synapse Analytics, SQL Managed Instance.
• Manage and optimize on-premises databases using SQL Server, SSIS, and other related tools.
• Ensure data quality, governance, and security are maintained across all environments.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements.
• Monitor and troubleshoot data pipelines for performance and accuracy.Participate in data modeling, schema design, and optimization of complex queries.
• Automate data workflows and optimize data storage solutions.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field
• 3-5 years of experience in data engineering or a related field.
• Strong knowledge of ETL/ELT processes, data integration, and data warehousing.
• Proficiency in Azure cloud technologies such as Azure Data Factory, Azure Synapse Analytics/MS Fabric, and Azure Storage
• Hands‑on experience with Snowflake advanced features is a plus.
• Experience with on-premises technologies such as SQL Server, SSIS, and Power BI or Tableau.
• Strong SQL skills for querying and transforming data.
• Experience with scripting languages (e.g., Python or PowerShell) for automation.
• Familiarity with version control systems like Git.
• Strong problem‑solving skills with the ability to work in a fast‑paced environment.
• Excellent communication skills for collaborating with cross‑functional teams.

Preferred Qualifications

• Experience with data governance and security best practices.
• Experience with other cloud platforms (AWS, Google Cloud) is an advantage.