DATA ENGINEER

Vrinda International

Hyderabad

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

Vrinda International in Hyderabad is hiring a Data Engineer with 3+ years of experience for an on-site role in Kondapur. You will develop and optimize data pipelines, manage data models, and work with Azure/ Snowflake technologies.

The position requires strong analytical and communication skills, ability to collaborate with analysts and software engineers, and a hands-on approach to building dashboards with Power BI or Tableau.

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 management
Data engineering
Analytical
Communication
SQL

Tools

Microsoft Fabric
Snowflake
Databricks
Azure Data Factory
Power BI
Tableau

Job description

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

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
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