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EXL

Azure Data Engineer

EXL Noida, Uttar Pradesh, India

Business Consulting and Services · 10,001+ employees

7 h ago
data-engineer Principal (10+ yrs) Full-time India
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About the role

Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT to integrate data from various sources. Collaborate with stakeholders and cross-functional teams to optimize data workflows while maintaining data quality and governance standards.

What they look for

Azure Snowflake SQL Azure Data Factory Dbt ETL ELT Data Pipelines Data Warehousing SnowSQL Cloud Computing Data Governance Data Integration Python PySpark DevOps

Requirements

Requires a bachelor's or master's degree in computer science or a related field with at least 8 years of experience in data engineering. Candidates must possess strong expertise in Azure Cloud services, Snowflake, SQL, and data pipeline orchestration.

Full description

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.

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

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

Responsibilities

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.

Qualifications

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

Information Systems, or a related field.

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