Azure Data Engineer
Skills
About the role
Job 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.
4+ 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.
Questions about this role
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