Snowflake Engineer

Zohorecruit; Polska; Hybrid; PLN 150,000 - 230,000; Full time

Job summary

Zohorecruit is seeking a Snowflake Engineer with 1–3 years of hands-on data engineering experience to join our team. The role focuses on building scalable data pipelines, working with Snowflake, SQL, Python, and ETL/ELT processes to transform and analyze large datasets.

You will collaborate with senior engineers and analysts, implement best practices for data security and quality, and optimize workloads on cloud platforms such as AWS, Azure, or GCP.

Qualifications

• 1–3 years of hands-on experience in Data Engineering, Data Warehousing, or a related role.
• Hands-on experience with Snowflake.
• Working knowledge of Python.
• Understanding of ETL/ELT pipelines and data integration.
• Basic understanding of data modelling and database concepts.
• Experience with at least one cloud platform — AWS, Azure, or GCP.
• Familiarity with Git/version control.
• Good analytical and problem-solving skills.

Responsibilities

• Develop and maintain data pipelines using Snowflake and SQL.
• Write complex SQL queries for data transformation, extraction, and analysis.
• Build and maintain ETL/ELT pipelines from multiple data sources.
• Work with Snowflake features such as Streams, Tasks, Snow pipe, and stored procedures.
• Develop data transformations and automation using Python.
• Create and maintain tables, views, schemas, and data models in Snowflake.
• Monitor and troubleshoot data pipelines and resolve data quality issues.
• Optimize SQL queries and Snowflake workloads for performance and cost.
• Work with cloud storage and services such as AWS S3, Azure Blob Storage, or GCP.
• Collaborate with senior engineers, analysts, and other stakeholders to understand data requirements.
• Participate in code reviews, testing, deployment, and technical documentation.
• Follow best practices for data security, quality, and reliability.

Skills

Snowflake

SQL

Python

ETL/ELT pipelines

Cloud platforms

Git/version control

Data modelling concepts

Data quality

Tools

dbt

Apache Airflow

AWS

Azure

GCP

Job description

We are looking for a Snowflake Engineer with 1–3 years of hands-on experience in data engineering and cloud data platforms. The ideal candidate should have practical experience working with Snowflake, SQL, Python, and ETL/ELT pipelines and be comfortable working with large datasets.

This role is suited for someone who enjoys solving data problems, learning new technologies, and building scalable data solutions.

Key Responsibilities

• Develop and maintain data pipelines using Snowflake and SQL.
  
• Write complex SQL queries for data transformation, extraction, and analysis.
  
• Build and maintain ETL/ELT pipelines from multiple data sources.
  
• Work with Snowflake features such as Streams, Tasks, Snow pipe, and stored procedures.
  
• Develop data transformations and automation using Python.
  
• Create and maintain tables, views, schemas, and data models in Snowflake.
  
• Monitor and troubleshoot data pipelines and resolve data quality issues.
  
• Optimize SQL queries and Snowflake workloads for performance and cost.
  
• Work with cloud storage and services such as AWS S3, Azure Blob Storage, or GCP.
  
• Collaborate with senior engineers, analysts, and other stakeholders to understand data requirements.
  
• Participate in code reviews, testing, deployment, and technical documentation.
  
• Follow best practices for data security, quality, and reliability.
  

Required Skills

• 1–3 years of hands-on experience in Data Engineering, Data Warehousing, or a related role.
  
• Hands-on experience with Snowflake.
  
• Working knowledge of Python.
  
• Understanding of ETL/ELT pipelines and data integration.
  
• Basic understanding of data modelling and database concepts.
  
• Experience working with at least one cloud platform — AWS, Azure, or GCP.
  
• Familiarity with Git/version control.
  
• Good analytical and problem-solving skills.
  

Good to Have

• Experience with Snowflake Streams, Tasks, Snow pipe, or Dynamic Tables.
  
• Experience with dbt.
  
• Familiarity with Apache Airflow or other workflow orchestration tools.
  
• Exposure to AWS services such as S3, Lambda, Glue, or Redshift.
  
• Experience with APIs, JSON, or other data formats.
  
• Exposure to CI/CD practices.
  
• Understanding of data quality and data governance.
  
• Snowflake certification.
  

What We're Looking For

• Strong hands-on and practical approach to problem-solving.
  
• Ability to understand requirements and translate them into technical solutions.
  
• Good communication and collaboration skills.
  
• Willingness to learn and work with modern data technologies.
  
• Ability to work independently while collaborating with senior team members.
  
• Strong attention to detail and data quality.