Westfield 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
PostedDec 8, 2025
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build ETL and ELT pipelines with Azure Data Factory, Snowflake and DBT
- Connect varied source systems to Snowflake and keep those data flows running
- Use SQL to extract and reshape data, tuning queries for efficient execution
- Turn stakeholder needs into technical designs, then monitor and resolve pipeline issues
- Set data quality, governance and documentation practices with analysts, architects and DevOps teams
What you bring
- At least eight years in data engineering roles that use Azure and Snowflake
- Hands-on ability with Azure Data Factory, Snowflake, SnowSQL, DBT and SQL
- 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 works across Azure, Snowflake and warehouse transformations. The position is based in Gurugram and follows 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.
- 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.
- 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.
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.