---
title: Senior Data Engineer at JSAN Consulting Group
description: As a Data Engineer, you will play an important role in the Data Infrastructure team, responsible for building and maintaining a scalable, robust, self-service analytics platform. Maintain and improve 
---

# Senior Data Engineer

**Company:** JSAN Consulting Group  
**Location:** Batumi, Georgia  
**Posted:** 2026-09-08  
**Apply by:** 2026-10-23

**Tags:** data engineer

[Apply / View original posting](https://www.linkedin.com/jobs/view/4462280776)

## Job description

As a Data Engineer, you will play an important role in the Data Infrastructure team, responsible for building and maintaining a scalable, robust, self-service analytics platform. Maintain and improve the ingestion pipeline to reliably deliver billions of events daily within a defined SLA. • Support teams in building and optimizing complex data pipelines. • Work closely with other teams to identify pain points and problems around the data platform. • Develop new tools and frameworks to improve the data platform. • Collaborate closely with data scientists and data analysts to support their work in production. • Work on large-scale initiatives such as building an ML platform and streaming use cases. • Establish best practices and processes around software and data development. 3+ years of experience in data engineering. • Experience working with an orchestration tool, e.g. Airflow. • Experience working with large datasets. • Experience building complex ETL pipelines. • Experience working with cloud providers such as GCP, AWS, or Azure. • Strong programming skills in Spark with Scala and Python. • Experience with CI/CD tools such as Jenkins and Git. • Strong understanding of software engineering practices and principles. • Excellent problem-solving and communication skills. • Self-motivated, proactive, and able to take ownership of problems and drive them to resolution. Must Have experience: Hands-on experience building, scaling, and operating production-grade data platforms or data infrastructure, including reliability, observability, performance, and self-service capabilities. Nice to have:• Experience working with messaging systems such as Kafka. • Knowledge of Kubernetes. • Hands-on experience with a streaming platform. • Experience managing a data warehouse in BigQuery or Redshift.

---

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