Job Description
We are seeking a highly skilled Azure & Snowflake Data Engineer to design, build, and optimize scalable data solutions using Microsoft Azure and Snowflake. The ideal candidate will have hands-on experience in cloud-based data engineering, data warehousing, ETL/ELT development, and up-to-date data architecture. The role involves collaborating with business stakeholders, data analysts, and data scientists to deliver robust and high-performance data platforms.
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF), Azure Databricks, and Snowflake.
Develop and optimize ETL/ELT processes for ingesting, transforming, and loading structured and unstructured data.
Implement data models, data marts, and enterprise data warehouse solutions in Snowflake.
Integrate data from multiple sources, including databases, APIs, cloud storage,



and third-party applications.
Ensure data quality, governance, security, and compliance across data platforms.
Optimize Snowflake performance through clustering, partitioning, query tuning, and warehouse management.
Build and maintain CI/CD pipelines for data engineering workflows.
Monitor and troubleshoot data pipelines, system performance, and data processing issues.
Collaborate with analytics, BI, and business teams to understand data requirements and deliver solutions.
Create technical documentation, design specifications, and operational procedures.
Implement data security using role-based access control (RBAC) and data masking policies.
Must-Have Skills
ADB, AZF, Snowflake, SQL, ETL, Data warehouse

📌 Senior Data Engineer- Azure and Snowfake (India)
🏢 Programmers.io
📍 India