Data Engineer

Job Description

About the team

We’re a Data team. We gather specialists passionate about data, our mission is to help grow Eneba organization as a data driven decision maker by providing a solid data foundation. We want to foster a healthy data culture across organizations and enable our colleagues to have easier access to necessary data that they require in their day-to-day activities. Our team gathered ML experts who are creating amazing machine learning models. Data analysts provide crucial data insights for teams and data engineers who build cutting edge data pipeline solutions.

Responsibilities

• Enable efficient data access by creating and maintaining data pipelines.
• Collaborate with ML engineers to design and maintain automation for machine learning training, quality assessment, and model release process.
• Build data infrastructure from the vast amount of data for analytics, hypothesis testing and company metrics.
• Identify, design and implement improvement to internal processes allowing to optimize data delivery, automate manual processes.
• Design new and improve current patterns for building data models and implement necessary modifications.

Requirements

• 3+ years of experience in data engineering or in a similar role.
• Extensive experience with Apache Spark using Python for large-scale data processing.
• Familiarity with Databricks or similar cloud data platforms (such as Snowflake) would be a significant advantage.
• Experience with AWS, Azure, or other Kubernetes platforms is a huge plus.
• Must have hands-on expertise with Git for version control and collaboration.
• Solid knowledge of SQL, essential for querying and managing relational databases.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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