DATA ENGINEER

Vrinda International; Hyderabad; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Vrinda International in Hyderabad is hiring a Data Engineer with 3+ years of experience in data management and engineering. You will work on SQL data models, ETL/ELT pipelines, and cloud data platforms like Azure and Snowflake.

The role emphasizes collaboration with analysts and engineers in a fast-growing tech environment. Join a team building data-driven solutions for global education programs and IT talent initiatives.

Qualifications

• 3+ years of experience in Data Management / Data Engineering projects
• Hands-on experience with Microsoft Fabric, Snowflake & Databricks
• Understanding of DBMS, Data Warehousing & Data Modelling
• Strong analytical and problem-solving skills
• Excellent communication skills

Responsibilities

• Develop and optimize SQL queries and data models
• Build and maintain ETL/ELT data pipelines
• Work with Azure Data Factory, Databricks, Data Lakehouse, DevOps & Storage Accounts
• Develop data pipelines in Snowflake environments
• Implement Medallion Architecture for data processing and modelling
• Design full and incremental data ingestion strategies
• Build dashboards and reports using Power BI, Tableau or similar BI tools
• Document data processes and workflows
• Collaborate with Data Analysts and Software Engineers

Skills

Data Engineering

Microsoft Fabric

Snowflake

Databricks

DBMS

Data Warehousing

Data Modelling

Analytical skills

Communication skills

Job description

Hyderabad, Kondapur, India | Posted on 08/18/2026

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Job Description

HIRING | DATA ENGINEER

Experience: 3+ Years

Work Mode: 5 Days WFO

Notice Period: 0–30 Days

Positions: 4

Work Timings: 10 AM–7 PM

MUST-HAVE SKILLS

• 3+ years of experience in Data Management / Data Engineering projects
• Hands-on experience with Microsoft Fabric, Snowflake & Databricks
• Understanding of DBMS, Data Warehousing & Data Modelling
• Strong analytical and problem-solving skills
• Excellent communication skills

KEY RESPONSIBILITIES

• Develop and optimize SQL queries and data models
• Build and maintain ETL/ELT data pipelines
• Work with Azure Data Factory, Databricks, Data Lakehouse, DevOps & Storage Accounts
• Develop data pipelines in Snowflake environments
• Implement Medallion Architecture for data processing and modelling
• Design full and incremental data ingestion strategies
• Build dashboards and reports using Power BI, Tableau or similar BI tools
• Document data processes and workflows
• Collaborate with Data Analysts and Software Engineers