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  1. Home
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  3. MarketplaceTech Client #1 |...

MarketplaceTech Client #1 | Data Engineer

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SD Solutions logo

MarketplaceTech Client #1 | Data Engineer

SD Solutions

Location

Tbilisi, GE

Experience

Senior

Posted

Jul 7, 2026

Apply by

August 6, 2026

Applicants

0

Early applicantFull-timeWork from Office

Sign in to apply on web or download the app for more options.

Job Description

On behalf of **MarketplaceTech Client #1**, SD Solutions is looking for a talented **Data Engineer**. This role is for someone who takes real **ownership**, delivers reliably, and can independently drive projects from design through production. We care as much about execution and accountability as technical ability. The right candidate is proactive, highly available, responsive under pressure, and committed to delivering high-quality systems on time. *SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.* **Responsibilities:** - Design, build, and maintain scalable data pipelines and ETL workflows - Own data infrastructure and ensure reliability, monitoring, and performance - Develop and maintain orchestration workflows using Airflow - Write clean, efficient, production-grade Python code - Design and optimize PostgreSQL databases, queries, and schemas - Improve data quality, observability, and operational stability - Work closely with product, analytics, and engineering teams - Troubleshoot production issues and take responsibility for end-to-end resolution - Continuously improve architecture, scalability, and deployment processes **Requirements:** - At least 5+ years of experience as a Data Engineer or similar role - Strong ownership mentality and high sense of responsibility - Proven ability to deliver reliably and meet deadlines - High-level proficiency in Python - Strong SQL expertise, preferably PostgreSQL - Deep understanding of: - Database design - Query optimization - Performance tuning - Data modeling - Strong debugging and problem-solving skills - Ability to work independently with minimal supervision **Advantages:** - Experience with Apache Airflow - Experience with cloud platforms (AWS/GCP/Azure) - Experience building and maintaining production data pipelines **About the company:** A global provider of market intelligence, trading platforms, and professional services for a specialized luxury commodities sector. Operating through an international network of subsidiaries, the company serves over 10,000 professionals across 70 countries — dedicated to fostering transparent, efficient, and competitive market conditions. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice, and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Key Responsibilities

  • Design, build, and maintain scalable data pipelines and ETL workflows
  • Own data infrastructure and ensure reliability, monitoring, and performance
  • Develop and maintain orchestration workflows using Airflow
  • Write clean, efficient, production-grade Python code
  • Design and optimize PostgreSQL databases, queries, and schemas
  • Improve data quality, observability, and operational stability
  • Work closely with product, analytics, and engineering teams
  • Troubleshoot production issues and take responsibility for end-to-end resolution
  • Continuously improve architecture, scalability, and deployment processes

Skills Required

PythonSQLPostgreSQLDatabase designQuery optimizationPerformance tuningData modelingETLData pipelinesOwnershipResponsibilityProblem solvingDebuggingIndependenceCommunicationApache AirflowAWSGCPAzureCloud platforms

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Job Overview

Salary

—

Job Type

Full-time

Experience

Senior

Location

Tbilisi, GE

Application Deadline

August 6, 2026

Total Applicants

0

About SD Solutions

SD Solutions logo

SD Solutions is a leading company in the Technology sector, known for innovation and employee-centric culture.

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