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Vrinda International

DATA ENGINEER

Vrinda International Hyderabad, Telangana, India · ₹900K–₹2M/yr

Human Resources Services · 2-10 employees

13 h ago
data-engineer Mid (2-5 yrs) Full-time India
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About the role

Develop and optimize SQL queries, data models, and ETL/ELT pipelines using tools like Azure Data Factory and Snowflake. Collaborate with cross-functional teams to build dashboards and implement data ingestion strategies.

What they look for

Data Engineering Microsoft Fabric Snowflake Databricks SQL Python DBMS Data Warehousing Data Modelling Azure Data Factory Data Lakehouse DevOps Medallion Architecture Power BI Tableau

Requirements

Requires at least 3 years of experience in data engineering projects with hands-on expertise in Microsoft Fabric, Snowflake, and Databricks. Candidates must possess strong SQL and Python skills along with a solid understanding of data warehousing and modelling.

Full description

HIRING | DATA ENGINEER

Location: Hyderabad, Kondapur

Experience: 3+ Years

CTC: ₹9–15 LPA

Work Mode: 5 Days WFO

Notice Period: 0–30 Days

Positions: 4

Work Timings: 10 AM–7 PM

Interview: Assessment → L1 Technical → L2 Technical F2F → HR

MUST-HAVE SKILLS

  • 3+ years of experience in Data Management / Data Engineering projects
  • Hands-on experience with Microsoft Fabric, Snowflake & Databricks
  • Strong SQL & Python skills
  • 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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