Data Engineer

Markethac is an e-commerce analytics platform that helps businesses gain actionable insights from marketplace data across platforms.

We’re looking for a Mid-Level Data Engineer who is passionate about building reliable, scalable, and efficient data pipelines to support our data analytics and business intelligence needs. If you enjoy working with large datasets, optimizing data workflows, and leveraging modern data engineering tools, we’d love to meet you!

What You'll Do

• Design, develop, and maintain scalable data pipelines for data ingestion, transformation, and processing.
• Build and optimize ETL/ELT workflows to ensure data accuracy, consistency, and reliability.
• Develop and maintain data models using dbt to support analytics and reporting needs.
• Orchestrate and monitor data workflows using Apache Airflow.
• Work with databases and data warehouses to optimize query performance and data processing efficiency.
• Implement data quality checks, troubleshoot pipeline failures, and resolve data-related issues.
• Collaborate with Data Analysts, and other stakeholders to deliver reliable and analytics-ready datasets.
• Apply AI-assisted coding tools to improve development productivity, code quality, and workflow efficiency.
• Maintain clean, maintainable, and well-documented code using Git and CI/CD practices.

Requirements

• Minimum 2–4 years of experience in Data Engineering or a related role.
• Proficient in Python, including data processing libraries such as Pandas and NumPy.
• Hands-on experience with at least one of the following: MongoDB, ClickHouse, Google BigQuery, or Snowflake.
• Experience with dbt (must-have) for data transformation and modeling.
• Hands-on experience with Apache Airflow (must-have) for workflow orchestration.
• Familiarity with cloud platforms, particularly Google Cloud Platform (GCP).
• Experience using Docker for containerization and GitLab CI/CD for version control and deployment workflows.
• Familiarity with AI coding assistants such as OpenAI Codex and Claude Code.
• Strong analytical thinking, problem-solving skills, and attention to data quality.
• Good communication skills and the ability to collaborate across teams.

Preferred Qualifications

• Experience working with large-scale e-commerce or marketplace datasets.
• Understanding of data warehouse architecture, dimensional modeling, and ETL/ELT best practices.
• Experience optimizing SQL queries and building efficient analytical data models.
• Familiarity with ClickHouse for analytical workloads.

Why Join Markethac?

• Work with real-world e-commerce and marketplace data.
• Build and improve data infrastructure that supports business decisions.
• Collaborate with a team that values innovation, continuous learning, and practical problem-solving.
• Explore modern data engineering technologies and AI-assisted development tools.

Skills: Docker, Data Engineering, Google BigQuery, Data Pipeline, Dbt, Python, Apache Airflow, Data Processing, Snowflake, ETL, Data Integration, Gitlab, Clickhouse