snowflake consultant/Data engineer(Snowflake)

Infinity Quest; Województwo mazowieckie; On-site; PLN 180,000 - 300,000; Full time

Job summary

Infinity Quest Limited is seeking a senior data engineer to build and optimize data pipelines using dbt and Airflow. You will design scalable data models and dashboards in Power BI, enabling analytics and reporting across multiple business domains.

The role requires strong SQL and Python skills, plus hands-on experience with Snowflake and modern ELT practices. You will translate business requirements into robust data models, perform rigorous data quality checks, and collaborate with clients to

Qualifications

• Strong SQL and data analysis skills.
• Proficient in Python for data pipelines and transformations.
• Hands-on experience with dbt and modern ELT/data transformation practices.
• Solid understanding of data modeling including dimensional modeling and analytics datasets.
• Experience with a modern cloud data warehouse, preferably Snowflake.
• Strong Power BI skills including data modeling, DAX, dashboard development, and performance considerations.

Responsibilities

• Build and maintain data pipelines and transformation workflows using dbt and Python DAGs in Airflow.
• Develop clean, reliable, and reusable data models for analytics and reporting.
• Work with SQL and data warehouse platforms to investigate data, troubleshoot issues, and implement transformations.
• Develop and maintain Power BI dashboards, reports, semantic models, and DAX measures.
• Translate business requirements into appropriate data models and reporting solutions.
• Perform data analysis, validation, reconciliation, and data quality checks.

Skills

SQL

Python

dbt

Airflow

Power BI

DAX

Data Modeling

ETL/ELT

Snowflake

Data Quality

Tools

dbt

Airflow

Snowflake

Power BI

DAX

Python

Job description

• Build, maintain, and enhance data pipelines and transformation workflows using dbt and python DAG in Airflow. Develop clean, reliable, and reusable data models for analytics and reporting.
• Work with SQL and data warehouse platforms to investigate data, troubleshoot issues, and implement transformations. Develop and maintain Power BI dashboards, reports, semantic models, and DAX measures.
• Translate business requirements into appropriate data models and reporting solutions.
• Perform data analysis, validation, reconciliation, and data quality checks.
• AI Forward - Understand how to marry AI tools to enhance productivity on tasks Required Skills Strong SQL and data analysis skills.
• Strong Python for data pipelines for complex transformations and integrations.
• Hands-on experience with dbt and/or modern ELT/data transformation practices. Solid understanding of data modeling, including dimensional modeling, fact/dimension structures, and analytics datasets.
• Experience working with a modern cloud data warehouse, preferably Snowflake.
• Strong working experience with Power BI, including data modeling, DAX, dashboard development, and performance considerations.
• Ability to understand unfamiliar datasets and identify relationships, data quality issues, and transformation requirements.
• Experience debugging and supporting existing data pipelines and analytics solutions. Comfortable working independently in a fast-paced environment and delivering tasks with limited supervision. Must have below: 10+ Years Experience
• Great Communicator/Client Facing/ Attention to detail Individual Contributor and ability to work as a team.