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Data Engineer

Data Engineer

4 Months ago • 3-5 Years

Job Summary

Job Description

Eneba seeks a Data Engineer with 3+ years of experience in building and maintaining data pipelines. Expertise in Terraform, Apache Spark, Git, and SQL is essential. Experience with AWS, Azure, Kubernetes, and Databricks is highly desirable.

Must have:

Terraform Experience
Apache Spark
Git Expertise
SQL Knowledge

Good to have:

AWS Experience
Azure Experience
Kubernetes Platforms
Databricks Familiarity

Perks:

Employee Stock Options
Personal Learning Budget

11 skills required

11 skills required for this role

Add these skills to join the top 1% applicants for this job

github

kubernetes

spark

azure

aws

python

sql

git

terraform

foundation

budget-management

Job Details

About Eneba

We’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports more than 10m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.

About your team

We're a Data team. We gather specialists passionate about data, our mission is to help grow Eneba's organization as a data-driven decision-maker by providing a solid data foundation. We want to foster a healthy data culture across the organization 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 improvements to internal processes allowing the optimization of data delivery, and automation of 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.
Proficiency in Terraform for managing infrastructure as code.
Extensive experience with Apache Spark using Python for large-scale data processing.
Must have hands-on expertise with Git for version control and collaboration.
Solid knowledge of SQL, essential for querying and managing relational databases.
Experience with AWS, Azure, or other Kubernetes platforms is highly desirable.
Familiarity with Databricks would be a significant advantage.

What it’s like to work at Eneba

*Opportunity to join our Employee Stock Options program.

*Opportunity to help scale a unique product.

*Various bonus systems: performance-based, referral, additional paid leave, personal learning budget.

*Paid volunteering opportunities.

*Work location of your choice: office, remote, opportunity to work and travel.

*Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.

*Please attach CV's in English.

*To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice