Data Engineer – Digital Analytics

Back to offers

Remote

Description

We’re GoSolve – a global company specialized in transforming our customers’ vision into digital applications. We love building large-scale cloud-based digital products and have the necessary skills to make it happen. Join us and work with the top tech talents from all over the globe in a driven, proactive environment. Do you wish to join a stable product development project? You will be a perfect fit!

Just GO for it.

We’re looking for a Data Engineer to help build a robust data platform that powers hundreds of pipelines and guides critical enterprise decisions. You’ll collaborate across teams to optimize infrastructure, design data models, and implement best practices for managing large datasets efficiently.

Responsibilities:

  • Collaborate with digital analytics, data engineers, and analysts to enhance digital analytics platforms (e.g., GTM, Google Analytics, Amplitude, Firebase, S3, Redshift).
  • Scale infrastructure and improve reliability and efficiency.
  • Develop, deploy, and maintain data pipelines using AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, and more.
  • Define tracking requirements for web and mobile data collection via GTM and Segment; provide guidance on frontend tracking.
  • Stay current with the latest in analytics and attribution tools like GA360, Segment, Branch, and AppsFlyer.

Skills & Requirements:

  • 3+ years in cloud platforms (AWS, Azure, or GCP).
  • 3+ years building data pipelines with Python, Databricks, pySpark, or Kafka.
  • Experience building a Data Platform to support engineering teams and large data sets.
  • Strong SQL skills and experience with ETL development.
  • Familiarity with AWS services (Redshift, RDS, S3, EMR, Glue, Lambda).
  • Proficient with GitHub, Docker, Terraform, and CodeFresh.
  • 3+ years with mobile analytics platforms (e.g., Branch) and knowledge of the full data stack.

Nice to have:

  • Knowledge of A/B testing methodology and web/mobile app analytics.
  • 3+ years experience with Google Tag Manager, Google Analytics, Segment, or Amplitude.
  • Familiarity with JavaScript, CSS, and HTML.
  • Bachelor’s degree or equivalent experience; advanced degree is a plus. 

Benefits:

  • Be a part of the team that works for the most influential global brands.
  • Opportunities to create industry-defining services using the latest technologies.
  • Responsible position – leverage your knowledge beyond simple coding.
  • Advise customers on optimal solutions – we trust your expertise!
  • No rush! Work at your own pace in a quality-over-quantity environment.
  • Collaborate with highly experienced professionals.
  • Numerous opportunities for professional growth.
  • Full-time remote work from anywhere in the world.
  • Monthly budget for social benefits – tailored to your location and lifestyle.
  • 20 days of paid time off.
  • Annual training budget.

If you are looking for a role where you can apply your skills to shape data-driven decisions, join us and help create innovative digital solutions!

GDPR DATA PRIVACY NOTICE
In accordance with Article 13(1) and (2) of the GDPR, we inform you that: 1. The controller of your personal data is the entity indicated in the job offer. 2. We will process your personal data for the purpose of conducting the recruitment process for the position indicated in the job offer, and if you have given consent in this regard, also for the purpose of conducting future recruitment processes. 3. You have the right to: access your data and request its rectification, erasure, restriction of processing, the right to data portability, and the right to object to the processing of your data. 4. We do not engage in automated decision-making or profiling. 5. For more information on how we process your personal data, please refer to the full text of the Information Clause for Job Candidates.

not set

Data Engineer – Digital Analytics

Location

Remote

Apply now

The link has been copied to the clipboard

Apply now

The link has been copied to the clipboard

1 month