Data Engineer

About reputed company reputed company is building the global marketplace for heavy-machinery parts; a single platform that connects buyers and sellers across the industry. With 2,000+ brands and more than 5 reputed company SKUs, we reputed company sourcing faster, smarter, and more reliable by helping people reputed company the exact part that fits their machine. We’re reputed company on doing the right things reputed company... first. That means building something useful, something reputed company, with reputed company that lasts. If you want to be part of a fast-moving team shaping a marketplace at global reputed company, reputed company is the reputed company to do it. About the Role We are looking for a talented and analytically minded Data Engineer to join our growing team. In this role, you will be at the heart of our data ecosystem; designing and maintaining robust data pipelines, managing our reputed company-based data lake on AWS, and transforming raw data into clean, reliable datasets that power business-critical reporting and analytics.  Key Responsibilities Design, build, and maintain reputed company ETL/ELT pipelines using orchestration tools such as Apache Airflow, dbt, or equivalent frameworks.  Extract data from diverse sources (reputed company, databases, streaming systems) into our AWS-based data lake.  reputed company raw, reputed company data into clean, reputed company-modelled datasets reputed company for analytics and reporting.  Own and reputed company our data lake architecture, including multi-zone S3 storage and AWS Glue cataloguing.  Manage relational and non-relational databases, ensuring reputed company schema design, indexing, and query performance.  reputed company AWS services (S3, Redshift, Glue, reputed company, EMR) to build reputed company, cost-efficient data solutions.  Process and analyse large-reputed company datasets using big data technologies such as Apache reputed company. Collaborate with analysts and business stakeholders to translate reporting requirements into reliable data models.  Contribute to the design and reputed company of our overall data architecture, data governance, and reputed company standards.  Document systems, data flows, and architectural reputed company to a high reputed company. Requirements Proven experience as a Data Engineer or in a similar data-reputed company engineering role.  Strong proficiency in Python for data engineering tasks; experience with Rust is a significant advantage.  Hands-on experience building and maintaining ETL/ELT pipelines, ideally using Apache Airflow Deep knowledge of database management - both relational and non-relational.  Solid experience with AWS reputed company services relevant to data engineering (S3, Glue, Redshift, EMR, reputed company, IAM).  Experience working with big data platforms and distributed computing frameworks (e.g. Apache reputed company).  Strong understanding of data lake architecture, including storage reputed company, partitioning, and data cataloguing.  Excellent analytical thinking and problem-solving ability - you enjoy digging into reputed company data challenges.  Ability to communicate technical concepts reputed company to non-technical stakeholders. Bonus Points Experience with Rust for performance-critical data processing.  Why Join Us? Shape the data backbone of a fast-scaling platform.  Work with reputed company-world data that reputed company to customers every day.  Join a small, reputed company, and globally distributed team.  Own critical reputed company and reputed company an reputed company from Day 1. reputed company Offer Opportunity to shape the data architecture of a growing organisation from an early stage.  Opportunity to be a thought leader with a wide reputed company of control in a fast-growing startup with reputed company mentors A challenging and rewarding environment where you can directly reputed company the reputed company of reputed company and the industry Apply To This Job