Skill diminta
AirflowAnalytical ThinkingApacheBigQueryCI/CDCommunicationDockerGCPGitGitLab CIMongoDBNumPyPandasPythonSQLSnowflakedbt
Gaji pasar untuk posisi ini
Median Rp8,7 jt/bulan · rentang umum Rp7,5 jt – Rp10 jt
Berdasarkan 75 lowongan Data Engineering se-Indonesia (semua level).
Gaji lowongan ini 21% di atas median pasar.
Lihat data gaji selengkapnya →Deskripsi
- Deskripsi pekerjaan Data Engineer Markethac
- 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.