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Vrinda International

DATA ENGINEER

Vrinda International Hyderabad, Telangana, India

Human Resources Services · 2-10 employees

Aug 17
data-engineer Senior (5-10 yrs) Full-time India
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About the role

Develop and optimize SQL queries, data models, and ETL pipelines using Azure, Databricks, and Snowflake. Implement Medallion Architecture and build dashboards using BI tools while collaborating with cross-functional teams.

What they look for

Microsoft Fabric Snowflake Databricks SQL Python Database Management Systems Data Warehouse Data Modeling Azure Data Factory Data Lakehouse Azure DevOps ETL Data Pipelines Power BI Tableau Medallion Framework

Requirements

Requires 3-6 years of experience with strong proficiency in SQL, Python, and data warehousing technologies. Candidates must be local to Hyderabad and able to work from the office.

Full description

HIRING | DATA ENGINEER ?

Location: Hyderabad (Kondapur) – Local Candidates Preferred

Work Mode: 5 Days Work From Office

Experience: 3+ Years

CTC: Up to ₹15 LPA

Notice Period: Immediate to 15/20 Days ONLY

.

? MUST-HAVE SKILLS

✅ Microsoft Fabric

✅ Snowflake

✅ Databricks

✅ Strong SQL & Python

✅Database Management Systems

✅ Data Warehouse & Data Modeling

✅ Strong Analytical Skills

✅ Excellent Communication Skills

⭐ GOOD TO HAVE

  • Azure Data Factory
  • Data Lakehouse
  • Azure DevOps
  • Storage Accounts
  • ETL / Data Pipelines
  • Power BI / Tableau
  • Data Lake
  • Medallion Framework
  • Data Ingestion
  • Full & Incremental Loads

? ROLE & RESPONSIBILITIES

  • Develop and optimize SQL queries and data models
  • Build and maintain ETL/data pipelines using Azure, Databricks and Snowflake
  • Work with Microsoft Fabric and Data Lakehouse environments
  • Develop Medallion Architecture for data transformation and persistence
  • Implement full and incremental data ingestion processes
  • Work with Data Warehouse and database systems
  • Build dashboards and reports using Power BI/Tableau or other BI tools
  • Collaborate with Data Analysts and Software Engineers
  • Document data processes and workflows

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