Azure Data Engineer

Jobtailor; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Jobtailor is seeking a senior Data Engineer in Bengaluru to design and build robust ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT. You will translate business requirements into scalable data solutions and collaborate with cross‑functional teams in a cloud-native setup.

The role emphasizes data quality, governance, and efficient SQL-driven transformations on large-scale datasets, with engagement across analytics, architecture, and DevOps teams.

Qualifications

• Strong experience with Azure Cloud Platform services.
• Proficiency in SQL for data analysis and transformation.
• Hands-on experience with Snowflake and SnowSQL for data warehousing.
• Practical knowledge of DBT for transforming data in the warehouse.
• Experience in cloud-based data environments with large-scale datasets.

Responsibilities

• Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.
• Build and maintain data integration workflows from multiple sources to Snowflake.
• Write optimized SQL for data extraction and transformation.
• Collaborate with stakeholders to translate requirements 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.

Skills

SQL Proficiency

Stakeholder Collaboration

Problem Solving

Communication

Education

Bachelor's Degree in Computer Science

Master's Degree in Data Engineering

Tools

Azure Data Factory

Snowflake

DBT

Azure Data Lake

Azure Synapse

Azure Functions

Power BI

Tableau

Job description

• 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

Requirements

• 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
• 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
• 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
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• Knowledge of business intelligence tools such as Power BI or Tableau is a plus

Demonstrates expertise in designing and developing ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT, while ensuring data quality and governance. Proficient in SQL and experienced in collaborating with cross‑functional teams to deliver technical solutions in cloud‑native environments.

Highest‑signal resume keywords

• Azure Data Factory
• SQL Proficiency
• Snowflake Expertise
• DBT Knowledge
• Azure Cloud Platform

Hard Skills

• ETL Development
• Data Integration Workflows
• Data Transformation
• Data Quality Management
• Data Governance
• SQL Query Optimization
• Cloud‑Based Data Environments
• Data Warehousing
• CI/CD Pipelines
• Python or PySpark

Soft Skills

• Stakeholder Collaboration
• Problem Solving
• Communication

Certifications & Qualifications

• Bachelor’s Degree in Computer Science
• Master’s Degree in Data Engineering

Industry Keywords

• Data Engineering
• Data Governance
• Metadata Management
• Data Catalog Tools
• Cloud‑Native Environment

Tools & Technologies

• Azure Data Factory
• Snowflake
• DBT
• Azure Data Lake
• Azure Synapse
• Azure Functions
• Power BI
• Tableau