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 find the exact part that fits their machine. We’re focused on doing the right things well... first. That means building something useful, something reputed company, with impact that lasts. If you want to be part of a fast-moving team shaping a marketplace at global scale, 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 scalable ETL/ELT pipelines using orchestration tools such as Apache Airflow, dbt, or equivalent frameworks. Extract data from diverse sources (APIs, databases, streaming systems) into our AWS-based data lake. Transform raw, reputed company data into clean, well-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 scalable, cost-efficient data solutions. Process and analyse large-scale datasets using big data technologies such as Apache Spark. 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 quality standards. Document systems, data flows, and architectural reputed company to a high standard.
Requirements
Proven experience as a Data Engineer or in a similar data-focused 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 Spark). Strong understanding of data lake architecture, including storage layers, 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, sharp, and globally distributed team. Own critical reputed company and reputed company an impact 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 impact the future of the company and the industry Apply To This Job