Opening For Snowflake Data Engineer

Magellanic Cloud; Bengaluru; On-site; INR 2,000,000 - 3,500,000; Full time

Benefits offered by this job

On-site role

Job summary

Magellanic Cloud in Bengaluru is seeking a Snowflake Data Engineer with 3-5 years of experience. You will design, develop, and optimize scalable data pipelines using Snowflake and cloud technologies, handling ETL/ELT workflows for structured and unstructured data.

The role requires strong SQL, data modeling, and collaboration with data science and AI teams. Work is office-based in Bengaluru, focusing on data ingestion, transformation, and quality checks to support AI/GenAI initiatives with

Qualifications

• 3-5 years of experience in data engineering or related field.
• Strong knowledge of Snowflake and cloud-based data warehousing.
• Experience designing and managing ETL/ELT pipelines.
• Proficient in SQL and data modeling for analytics and AI workloads.
• Familiarity with data ingestion from multiple sources and data quality checks.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake and cloud technologies.
• Develop and manage ETL/ELT pipelines for structured and unstructured data.
• Build data ingestion and transformation workflows from multiple sources into Snowflake.
• Develop complex SQL queries, transformations, views, stored procedures, and data models.
• Work with Snowflake features for storage, processing, transformation, and performance.
• Integrate data pipelines with cloud platforms such as AWS, Azure, or GCP.
• Implement batch and incremental data processing pipelines.
• Monitor pipeline performance, troubleshoot failures, and perform root-cause analysis.
• Implement data-quality checks, validation, reconciliation, and monitoring.
• Prepare and transform data for LLМ and Generative AI applications.
• Work with data types used in AI/ML and GenAI solutions; handle text and embeddings.
• Collaborate with Data Scientists, ML Engineers, AI Engineers, and business teams.

Skills

Snowflake

ETL/ELT pipelines

SQL

Data pipelines

Cloud platforms

Tools

AWS

Azure

GCP

Snowflake UI/SQL

Job description

Position: Snowflake Data Engineer

Location: Bengaluru

Experience: 3-5 Years

Mode of work: Work from office

Job Description:

• Design, develop, and maintain scalable data pipelines using Snowflake and cloud technologies.
• Develop and manage ETL/ELT pipelines for structured and unstructured data.
• Build data ingestion and transformation workflows from multiple sources into Snowflake.
• Develop complex SQL queries, transformations, views, stored procedures, and data models.
• Work with Snowflake features for data storage, processing, transformation, and performance optimization.
• Integrate data pipelines with cloud platforms such as AWS, Azure, or GCP.
• Implement batch and incremental data processing pipelines.
• Monitor pipeline performance, troubleshoot failures, and perform root-cause analysis.
• Implement data-quality checks, validation, reconciliation, and monitoring.
• Prepare and transform data for LLM and Generative AI applications.
• Work with structured and unstructured data used in AI/ML and GenAI solutions.
• Work with text/document data, metadata, embeddings, and vector-based search where required.
• Collaborate with Data Scientists, ML Engineers, AI Engineers, and business teams.