Ranking: 1
Design, develop, and maintain ETL/ELT data pipelines using Python.
Process and transform datasets using Pandas and data engineering best practices.
Integrate and feed data into the Snowflake data lake.
Ensure high data quality, reliability, and performance across pipelines.
Collaborate with data analysts and business teams to enable data visualization and reporting.
Optimize data flows and storage structures to support analytics and business intelligence use cases.
Troubleshoot data pipeline issues and ensure system stability.
4+ years of experience in Data Engineering or Data Platforms.
Strong experience with Python for data processing.
Hands-on experience with Pandas for data transformation and analysis.
Experience building ETL/ELT pipelines.
Experience working with Snowflake or similar cloud data warehouses.
Experience supporting data visualization environments.
Professional English level (B2).
Strong analytical and problem-solving skills.
Ability to design scalable and efficient data processing workflows.
Collaborative mindset and ability to work with cross-functional teams.
Passion for data-driven solutions and continuous improvement.
Opportunity to work on modern data platforms and cloud-based architectures.
Collaborative and innovation-driven data environment.
Exposure to advanced analytics and data visualization initiatives.
Professional growth and continuous learning opportunities.
Competitive compensation aligned with experience and expertise.
Design, develop, and maintain ETL/ELT data pipelines using Python.
Process and transform datasets using Pandas and data engineering best practices.
Integrate and feed data into the Snowflake data lake.
Ensure high data quality, reliability, and performance across pipelines.
Collaborate with data analysts and business teams to enable data visualization and reporting.
Optimize data flows and storage structures to support analytics and business intelligence use cases.
Troubleshoot data pipeline issues and ensure system stability.
4+ years of experience in Data Engineering or Data Platforms.
Strong experience with Python for data processing.
Hands-on experience with Pandas for data transformation and analysis.
Experience building ETL/ELT pipelines.
Experience working with Snowflake or similar cloud data warehouses.
Experience supporting data visualization environments.
Professional English level (B2).
Strong analytical and problem-solving skills.
Ability to design scalable and efficient data processing workflows.
Collaborative mindset and ability to work with cross-functional teams.
Passion for data-driven solutions and continuous improvement.
Opportunity to work on modern data platforms and cloud-based architectures.
Collaborative and innovation-driven data environment.
Exposure to advanced analytics and data visualization initiatives.
Professional growth and continuous learning opportunities.
Competitive compensation aligned with experience and expertise.
