Description

Overview / Summary

Apply your Azure and Snowflake data engineering experience to build scalable pipelines and modern data solutions in a collaborative global delivery environment.

This role is ideal for a hands-on Data Engineer who can independently design, develop, troubleshoot, and support data pipelines using Azure Data Factory, Snowflake, SQL, Python, and Snowpark.

You will work across data warehouse and lakehouse environments while collaborating closely with onsite and offshore team members.

Key Responsibilities

• Design, develop, test, and support scalable data pipelines on Microsoft Azure.
• Build and maintain data integration workflows using Azure Data Factory.
• Develop Snowflake solutions using Tasks, Streams, Stored Procedures, Functions, and Snowpark.
• Write and optimize complex SQL queries, transformations, and data processing logic.
• Develop Python-based data processing and automation solutions.
• Support data ingestion, transformation, validation, and delivery across enterprise data platforms.
• Apply data warehouse, lakehouse, data modeling, and solution design concepts.
• Troubleshoot data quality, performance, pipeline, and integration issues.
• Monitor data workflows and resolve failures or processing exceptions.
• Participate in Agile planning, development, testing, and delivery activities.
• Collaborate with business, engineering, architecture, and offshore delivery teams.
• Track open issues during onsite working hours and provide clear handoffs to offshore team members.
• Maintain technical documentation, data mappings, process flows, and operational support notes.
• Work independently while communicating risks, dependencies, and progress to the broader team.

Required Qualifications

• At least four years of experience building data pipelines using Microsoft Azure.
• Strong hands-on experience with Azure Data Factory.
• Strong SQL development and query optimization skills.
• Strong Python programming experience for data engineering and automation.
• Hands-on Snowflake experience, including Tasks, Streams, Procedures, Functions, and Snowpark.
• Strong understanding of: Data warehouse architecture Lakehouse architecture Data modeling Data design concepts ETL and ELT processing Experience building and supporting production data pipelines. Experience working within Agile delivery teams.
• Strong analytical, organizational, and problem-solving skills.
• Ability to work independently and deliver assigned work with limited supervision.
• Strong written and verbal communication skills.
• Ability to coordinate effectively with globally distributed onsite and offshore teams.
• Ability to provide clear handoffs, status updates, and follow-up on unresolved issues.

Preferred Qualifications

• Experience optimizing Snowflake performance and resource usage.
• Experience with Azure Data Lake Storage.
• Exposure to Azure Synapse Analytics.
• Experience with Databricks or Spark-based processing.
• Experience with CI/CD pipelines for data solutions.
• Experience with Git, Azure DevOps, or similar source control and delivery tools.
• Experience supporting enterprise data platforms in production.
• Familiarity with data quality, governance, and monitoring practices

Key Skills

Education

Any Graduate