TC - Data Engineer - Snowflake - Senior

3 - 6 years

14 - 15 Lacs

kochi

Posted:Just now| Platform:

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Skills Required

automation data migration version control consulting agile analytics sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

EY GDS - Data and Analytics (D&A) - Data Engineer (Snowflake) - Senior Consultant

Your Key

Design, implement, and manage Snowflake environments across major cloud platforms.
Develop and execute ETL processes, ensuring efficient and secure data flow into cloud-based services.
Collaborate with global teams to understand business objectives and deliver scalable solutions.
Optimize data models, queries, and algorithms for performance and cost efficiency.
Ensure adherence to best practices in data governance, security, and compliance.

Skills and Attributes for Success

Snowflake Expertise 4+ years of hands-on experience with Snowflake components (Virtual Warehouses, Snowpipe, Streams, Tasks, Secure Views).
Data Engineering Proven experience in building data pipelines, ingestion frameworks, and analytical solutions.
Cloud Proficiency Strong knowledge of data migration and processing using cloud services (AWS, Azure, or GCP).
Programming Skills Proficiency in Python or PySpark for automation and data manipulation.
Data Warehousing Solid understanding of dimensional modeling and Snowflake-specific optimizations.
DevOps & CI/CD Familiarity with deployment automation and version control practices.
SQL Mastery Advanced SQL skills, including procedural SQL and query optimization.
Strong analytical and problem-solving skills with a focus on delivering high-quality technical solutions.

To Qualify for the Role, You Must Have

Bachelor s degree in Computer Science, Engineering, or related field.
Primary Skills 3+ years of hands-on experience with Snowflake on any major cloud platform.
Secondary Skills Proficiency in Python and experience with at least one ETL tool.
Preferred Domain Experience Power & Utilities, Oil & Gas, or Manufacturing.
Certifications Snowflake Data Engineer certification preferred.
Experience with Agile methodologies is a plus.
Excellent communication skills and ability to manage client relationships.
Self-motivated, proactive, and committed to software development best practices.

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