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Azure Data Engineer

Overview
EXLexlservice.comPosted 2 months ago
Pune, Maharashtra, INरिमोट
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रोज़गार का प्रकार
पूर्णकालिक
कार्य अनुभव
8+ years
विशेषज्ञता
Data engineering

भूमिका के बारे में

Role: Azure Data Engineer Location: Gurugram Work Mode: Hybrid Key Responsibilities:

  • Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, 

and DBT.

  • Build and maintain data integration workflows from various data sources to 

Snowflake.

  • Write efficient and optimized SQL queries for data extraction and transformation. 
  • Work with stakeholders to understand business requirements and translate them 

into technical solutions.

  • Monitor, troubleshoot, and optimize data pipelines for performance and 

reliability.

  • Maintain and enforce data quality, governance, and documentation standards. 
  • Collaborate with data analysts, architects, and DevOps teams in a cloud-native 

environment. Must-Have Skills:

  • Strong experience with Azure Cloud Platform services. 
  • Proven expertise in Azure Data Factory (ADF) for orchestrating and automating 

data pipelines.

  • Proficiency in SQL for data analysis and transformation. 
  • Hands-on experience with Snowflake and SnowSQL for data warehousing. 
  • Practical knowledge of DBT (Data Build Tool) for transforming data in the 

warehouse.

  • Experience working in cloud-based data environments with large-scale datasets. 

Good-to-Have Skills:

  • Experience with Azure Data Lake, Azure Synapse, or Azure Functions. 
  • Familiarity with Python or PySpark for custom data transformations. 
  • Understanding of CI/CD pipelines and DevOps for data workflows. 
  • Exposure to data governance, metadata management, or data catalog tools. 
  • Knowledge of business intelligence tools (e.g., Power BI, Tableau) is a plus. 

Responsibilities

  • and DBT.
  • Snowflake.
  • into technical solutions.
  • reliability.
  • environment.
  • Bachelor’s or master’s degree in computer science, Data Engineering, Information Systems, or a related field.

Requirements

  • Bachelor’s or master’s degree in computer science, Data Engineering, 

Information Systems, or a related field.

  • 8+ years of experience in data engineering roles using Azure and Snowflake. 

Key Skills: Azure, Snowflake, SQL, Data Factory, DBT

Key skills

  • Azure
  • ETL
  • Snowflake
  • dbt
  • SQL
  • DevOps
  • Data Analysis
  • Data Warehousing
  • Python
  • Apache Spark
  • CI/CD
  • Power BI
  • Tableau
  • Data Engineering

Benefits & perks

  • Remote friendly