EXL

Azure Data Engineer

EXL

full-time

Posted on:

Location Type: Hybrid

Location: Gurugram • India

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Tech Stack

AzureCloudETLPySparkPythonSQLTableau

About the role

  • **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. ****Qualifications: ****
  • Bachelor’s or master’s degree in computer science, Data Engineering, **Information Systems, or a related field. **
  • 4+ years of experience in data engineering roles using Azure and Snowflake. **Key Skills: Azure, Snowflake, SQL, Data Factory, DBT

Requirements

  • Bachelor’s or master’s degree in computer science, Data Engineering, **Information Systems, or a related field. **
  • 4+ years of experience in data engineering roles using Azure and Snowflake.
  • 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
ETLELTSQLSnowflakeDBTAzure Data FactorySnowSQLPythonPySparkCI/CD