Azure Lead Data Engineer
Hybrid Gurugram Full-time Senior Data Engineering
At a glance
Senior Data Engineering role at Fa Ewjt Saasfaprod1. Gurugram · full-time.
Pay not stated Lead Data Engineer salary
RoleData Engineering
SenioritySenior
LocationGurugram
WorkplaceHybrid
EmploymentFull-time
PostedSep 28, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Create ETL/ELT workflows with Azure Data Factory, Snowflake and DBT, bringing data from multiple sources into the warehouse
- Use SQL to extract and transform information, tuning queries for better performance
- Translate stakeholder needs into technical work, then investigate pipeline problems and improve reliability
- Work with analysts, architects and DevOps teams to uphold data quality, governance and documentation practices
What you bring
- At least eight years working in data engineering with Azure and Snowflake
- Strong Azure platform experience, including using Data Factory to coordinate and automate pipelines
- Proficiency in SQL, hands-on Snowflake and SnowSQL, and practical DBT knowledge
- A bachelor's or master's degree in computer science, data engineering, information systems or a related area
Who this fits
This senior role suits an experienced data engineer who can build and operate Azure and Snowflake pipelines while working with analysts, architects and DevOps teams. It is based in Gurugram with a hybrid arrangement.
From the employer
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.
- 8+ 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.
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.
- Strong problem-solving, communication, and collaboration skills.
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