Key Skills

Job Description

DATA ENGINEER About the Role As a Data Engineer, you will play a crucial role in building and maintaining the data infrastructure that supports data-driven decision-making. You will design, develop, and optimize scalable data pipelines and architectures for efficient data collection, processing, and storage. You will collaborate closely with data scientists, data analysts, and product teams to ensure the availability, reliability, and quality of data. A proactive approach to problem-solving and a focus on automation will help streamline workflows and contribute to improved platform performance and user experience. Key Responsibilities Design and implement robust data pipelines and ETL processes. Develop and optimize scalable data architectures for data collection, processing, and storage. Build and maintain reliable data infrastructure. Ensure the availability and quality of data for data-driven decision-making. Collaborate with data scientists, data analysts, and product teams. Apply automation to streamline data workflows and processes. Identify and solve data-related and infrastructure challenges proactively. Contribute to platform performance and overall user experience through reliable data infrastructure. Required Qualifications Proven experience designing and implementing robust data pipelines and ETL processes. Strong proficiency in SQL and modern data warehousing technologies. Experience with big data tools and frameworks such as Apache Spark or Hadoop. Familiarity with cloud platforms and infrastructure such as AWS, GCP, or Azure. Solid programming skills in Python, Scala, or Java. Ability to collaborate effectively in cross-functional teams. Ability to communicate complex data concepts clearly. Preferred Qualifications No additional preferred qualifications are explicitly specified in the source job description. Skills & Competencies Data engineering and data pipeline development ETL processes SQL Data warehousing Big data technologies Apache Spark and Hadoop Cloud platforms and infrastructure Python, Scala, or Java programming Problem-solving Automation Cross-functional collaboration Communication of complex technical concepts Data quality and reliability Education & Experience Education: No specific educational qualification is stated. Experience: Proven experience designing and implementing data pipelines and ETL processes. Experience with big data tools and frameworks. Familiarity with cloud platforms and infrastructure. Programming experience in Python, Scala, or Java. Work Arrangement & Schedule Work Arrangement: Remote work options available Working Hours: Flexible working hours Employment Type: Not specified in the source job description Weekly Hours: Not specified Weekend Requirements: Not specified Compensation & Benefits Competitive salary Performance-based bonuses Generous paid time off Parental leave policies Professional development and continuous learning opportunities Flexible working hours Remote work options Compliance / Additional Information The company is an online marketplace specializing in peer-to-peer sales of secondhand fashion and lifestyle items, with a focus on sustainability, transparency, collaboration, innovation, and user experience.

Core Responsibilities

You will design, develop, and optimize scalable data architectures and robust ETL pipelines to support data-driven decision-making. Additionally, you will collaborate with cross-functional teams to ensure data quality and reliability while applying automation to streamline workflows.

Requirements

Candidates must have proven experience in designing data pipelines and strong proficiency in SQL and modern data warehousing technologies. You should also possess solid programming skills in Python, Scala, or Java and familiarity with big data frameworks and cloud platforms.

Benefits

• Competitive salary
• Performance-based bonuses
• Generous paid time off
• Parental leave policies
• Professional development
• Continuous learning opportunities
• Flexible working hours
• Remote work options