Data Engineer – Snowflake & Azure Data Factory

Zyoin Group; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading data solutions provider in India is seeking an experienced Data Engineer to design and optimize data platforms using Snowflake and Azure Data Factory. Ideal candidates will have 9–13 years of experience and a strong grip on advanced SQL and data ingestion. This full-time role offers the chance to work collaboratively with analytics and business teams while mentoring junior members. Excellent problem-solving skills and communication capabilities are a must.

Qualifications

• 9–13 years of experience in Data Engineering.
• Hands-on expertise in Snowflake.
• Extensive experience with Azure Data Factory.

Responsibilities

• Design, develop, and optimize Snowflake data warehouse architecture.
• Build, manage, and monitor ELT pipelines using Azure Data Factory.
• Perform advanced Snowflake performance tuning.

Skills

Snowflake data warehousing

Azure Data Factory

Advanced SQL development

Data ingestion

Problem-solving

Stakeholder collaboration

Job description

Job Title: Data Engineer – Snowflake & Azure Data Factory

Experience: 9–13 Years

Notice Period: Immediate to 30 Days

Role Overview

We are seeking an experienced Data Engineer with strong expertise in Snowflake and Azure Data Factory (ADF) to design, build, and optimize scalable data platforms. This role requires deep hands‑on experience in data warehousing, ELT pipeline development, and performance optimization, along with the ability to collaborate across analytics and business teams.

Key Responsibilities

• Design, develop, and optimize Snowflake data warehouse architecture.
• Build, manage, and monitor complex ELT pipelines using Azure Data Factory.
• Perform advanced Snowflake performance tuning, including clustering, pruning, caching, and warehouse sizing.
• Develop and optimize complex SQL queries, views, and stored procedures.
• Manage data ingestion from multiple data sources such as RDBMS, APIs, flat files, and cloud storage.
• Ensure adherence to data quality, governance, and security best practices.
• Collaborate closely with BI, analytics, and business stakeholders to deliver data solutions.
• Troubleshoot and resolve pipeline failures, data issues, and performance bottlenecks.
• Mentor junior team members and contribute to engineering best practices and standards.

Required Skills & Experience

• 9–13 years of experience in Data Engineering.
• Strong hands‑on expertise in Snowflake data warehousing.
• Extensive experience with Azure Data Factory (ADF).
• Advanced SQL development and performance tuning skills.
• Experience working with multiple data sources and ingestion patterns.
• Strong problem‑solving and debugging capabilities.
• Excellent communication and stakeholder collaboration skills.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Staffing and Recruiting

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