Data Engineer – Snowflake

About the Role

We are seeking a Data Engineer - Snowflake (Associate) to join a managed services team supporting enterprise data platforms. In this role, you will develop, optimize, and maintain scalable Snowflake-based data solutions while ensuring platform reliability and continuous improvement. You'll work closely with cross-functional stakeholders to deliver high-quality data engineering solutions in a collaborative environment.

This opportunity is ideal for professionals looking to strengthen their Snowflake expertise while working on modern cloud-based data platforms.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Snowflake.
• Build data ingestion processes utilizing Snowpipe, Streams, and Tasks.
• Optimize Snowflake performance through query tuning, clustering, and warehouse optimization.
• Administer Snowflake databases, schemas, and secure data sharing while following governance best practices.
• Integrate Snowflake with cloud storage solutions and orchestration tools.
• Monitor production environments, investigate incidents, perform root cause analysis, and support ongoing platform improvements.
• Collaborate with technical and business stakeholders to understand requirements and deliver effective data solutions.
• Analyze data engineering challenges and recommend practical, scalable solutions.
• Adhere to engineering standards, governance policies, and quality practices.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 1-3 years of experience in data engineering or a related role.
• Strong verbal and written communication skills in English.

Required Technical Skills

• Strong experience with Snowflake SQL.
• Hands-on experience with Snowpipe, Streams, Tasks, and Snowflake performance optimization.
• Advanced SQL and Python programming skills.
• Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Familiarity with orchestration tools and modern ETL/ELT methodologies.
• Experience with ETL solutions such as dbt, Fivetran, Informatica, or Azure Data Factory (ADF).

Preferred Attributes

• Strong analytical and problem-solving skills.
• Ability to work effectively with cross-functional teams and stakeholders.
• Experience supporting enterprise data platforms in a managed services or similar environment.
• Ability to adapt to evolving business and technical requirements.
• Commitment to delivering reliable, scalable, and high-quality data solutions.