Data Engineer

Vanator RPO

Vanator RPO is dedicated to harnessing data to drive insightful decision-making and efficient operations. They are seeking a Data Engineer to develop and maintain scalable data pipelines, coordinate with cross-functional teams, and enhance data accuracy for meaningful insights. This role exists to support expanding analytics and machine learning functions.

In this role you can expect to have the responsibilities:

• Develop and maintain scalable data pipelines for analytics and machine learning applications.
• Design and implement ETL processes for data extraction, transformation, and loading.
• Collaborate with cross-functional teams to gather data requirements and deliver solutions.
• Build and maintain data models for analytics and reporting.
• Implement processes to ensure data accuracy and consistency.
• Optimize database performance and troubleshoot issues.

This role comes with the following benefits:

• 8-hour work shift
• Monday to Friday work schedule

This role requires you to have:

• Proficiency in Python for data manipulation and analysis.
• Experience with RESTful APIs for data integration.
• Strong knowledge of database design principles.
• Familiarity with model training techniques for machine learning applications.
• Ability to manage large datasets in data warehouse environments.
• Knowledge of Apache Hive for querying large datasets.
• Understanding of linked data concepts for semantic web applications.

You would benefit from having:

• Experience with Airflow, Spark, Data Brick, Snowflake, Delta lake, and Kafka.