Azure Data Engineer

HR India Solutions; Mumbai, Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

HR India Solutions in Mumbai is seeking an Azure Data Engineer to design and implement data pipelines and architectures on Azure.

You will work with Databricks, Data Factory, and SQL to transform data into actionable insights while collaborating with cross-functional teams to meet business needs and optimize performance and cost.

Join a dynamic team in a growing market and contribute to modern data solutions, scalability, and cost-efficiency.

Qualifications

• Experience with Azure data services (Data Factory, Databricks, Synapse).
• Proficiency in SQL and data modeling.
• Experience with data warehousing and ETL processes.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills.

Responsibilities

• Design and implement data pipelines using Azure Data Factory and Databricks.
• Develop and maintain data architectures on Azure.
• Analyze data using SQL and Databricks to inform business decisions.
• Collaborate with cross-functional teams to understand business requirements.
• Optimize data solutions for performance, scalability, and cost-effectiveness.

Skills

Analytical thinking

Communication

Collaboration

Tools

Azure Data Factory

Databricks

Synapse

SQL

ETL

Job description

Job Title: Azure Data Engineer

Job Summary:

We're seeking a skilled Azure Data Engineer to join our team, leveraging expertise in Databricks, Data Factory, and SQL to design and implement data solutions.

Key Responsibilities:

• Design and implement data pipelines using Azure Data Factory and Databricks
• Develop and maintain data architectures on Azure
• Analyze data using SQL and Databricks to inform business decisions
• Collaborate with cross-functional teams to understand business requirements
• Optimize data solutions for performance, scalability, and cost-effectiveness

Requirements:

• Strong knowledge of Azure data services (e.g., Data Factory, Databricks, Synapse)
• Proficiency in SQL and data modeling
• Experience with data warehousing and ETL processes
• Excellent analytical and problem-solving skills
• Strong communication and collaboration skills

Nice to Have:

• Experience with Azure DevOps and CI/CD pipelines
• Knowledge of machine learning and data science concepts
• Familiarity with Agile development methodologies
• Certification in Azure data services (e.g., Azure Data Engineer, Databricks Certified)