Senior Snowflake Engineer
TypeFull-time job
LocationPoland
Posted2 hours ago
Tech Stack:
Snowflake
AWS
SQL
Python
ETL Development
Data Warehousing
Data Modeling
CI/CD
Spark (nice to have)
Azure (Databricks, Synapse, Fabric)
Project Description:
We are looking for a Senior Snowflake Engineer to join a data-focused team responsible for developing, maintaining, and optimizing cloud-based data solutions built on Snowflake within an AWS environment.
In this role, you will work on enhancing existing data platforms, improving data quality, ensuring platform stability, and supporting critical business processes through reliable and scalable data solutions. You will play a key role in troubleshooting production issues, optimizing system performance, and driving cost-efficient data operations.
Required Qualifications:
5+ years of experience in Data Engineering
Strong hands-on experience with Snowflake in AWS environments
Advanced SQL skills
Solid programming experience in Python
Proven experience developing, maintaining, and optimizing data pipelines
Strong troubleshooting and problem-solving skills
Experience with performance tuning and cost optimization
Knowledge of data warehousing concepts and data modeling
Ability to work effectively in production support and enhancement activities
Nice to Have:
Experience with Azure services such as Databricks, Synapse, or Fabric
Familiarity with Apache Spark
Experience with CI/CD practices and tools
Knowledge of data governance and data quality frameworks
Experienced in using AI tools in day-to-day workflow
Scope of Services:
Develop, maintain, and enhance ETL processes within the Snowflake platform
Extend and adjust existing data models and warehouse structures
Monitor, analyze, and improve data quality across the platform
Administer Snowflake environments, including roles, warehouses, and access management
Investigate, troubleshoot, and resolve issues within data pipelines and warehouse solutions
Optimize Snowflake workloads for performance, scalability, and cost efficiency
Collaborate with data engineering teams and stakeholders to deliver reliable data solutions
Support operational excellence and continuous improvement initiatives within the data platform ecosystem
Originally posted on Himalayas
Snowflake
AWS
SQL
Python
ETL Development
Data Warehousing
Data Modeling
CI/CD
Spark (nice to have)
Azure (Databricks, Synapse, Fabric)
Project Description:
We are looking for a Senior Snowflake Engineer to join a data-focused team responsible for developing, maintaining, and optimizing cloud-based data solutions built on Snowflake within an AWS environment.
In this role, you will work on enhancing existing data platforms, improving data quality, ensuring platform stability, and supporting critical business processes through reliable and scalable data solutions. You will play a key role in troubleshooting production issues, optimizing system performance, and driving cost-efficient data operations.
Required Qualifications:
5+ years of experience in Data Engineering
Strong hands-on experience with Snowflake in AWS environments
Advanced SQL skills
Solid programming experience in Python
Proven experience developing, maintaining, and optimizing data pipelines
Strong troubleshooting and problem-solving skills
Experience with performance tuning and cost optimization
Knowledge of data warehousing concepts and data modeling
Ability to work effectively in production support and enhancement activities
Nice to Have:
Experience with Azure services such as Databricks, Synapse, or Fabric
Familiarity with Apache Spark
Experience with CI/CD practices and tools
Knowledge of data governance and data quality frameworks
Experienced in using AI tools in day-to-day workflow
Scope of Services:
Develop, maintain, and enhance ETL processes within the Snowflake platform
Extend and adjust existing data models and warehouse structures
Monitor, analyze, and improve data quality across the platform
Administer Snowflake environments, including roles, warehouses, and access management
Investigate, troubleshoot, and resolve issues within data pipelines and warehouse solutions
Optimize Snowflake workloads for performance, scalability, and cost efficiency
Collaborate with data engineering teams and stakeholders to deliver reliable data solutions
Support operational excellence and continuous improvement initiatives within the data platform ecosystem
Originally posted on Himalayas
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