EXL

Azure Data Engineer

EXL  •  Republic of India (Onsite)  •  5 months ago
Apply
Save Job
Mark Applied Mark Interviewed Mark Offered
Hide Job Report Job
AI can make mistakes so check important info. Chat history is never stored.

Job Description

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 DataStage, Netezza, 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.
  • 6+ years of experience in data engineering roles using Azure and Snowflake.
  • Strong problem-solving, communication, and collaboration skills.

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 DataStage, Netezza, 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.
  • 6+ years of experience in data engineering roles using Azure and Snowflake.
  • Strong problem-solving, communication, and collaboration skills.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • 6+ years of experience in data engineering roles using Azure and Snowflake.
  • Strong problem-solving, communication, and collaboration skills.
EXL

About EXL

Choosing a digital partner is about more than capabilities — it’s about collaboration and character.

Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments.

At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.

Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale.

Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact.

We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition.

At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward.

For more information, visit www.exlservice.com.

Industry
Consulting & Advisory
Company Size
10,000+ employees
Headquarters
New York, NY
Year Founded
Unknown
Website
exlservice.com
Social Media