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Description
🚀 Data Platform Engineer – Empower Big Data Teams with Seamless ETL | Long-Term Contract Opportunity Join an innovative engineering team at one of the most successful enterprise e-commerce companies in North America, where we're building cutting-edge orchestration tools to simplify data operations across the business. As a Data Platform Engineer , you’ll help power a self-service data ecosystem that enables engineers, analysts, and scientists to move faster, experiment confidently, and unlock real insights — all without needing to touch low-level infrastructure. This is an exciting opportunity to build internal platforms that abstract the complexity of distributed systems and make ETL/ELT processes smooth, scalable, and efficient . 💼 ~1-Year Contract Work with a forward-thinking team of engineers and drive impact at scale while supporting one of the largest retail data footprints in the industry. 🌟 What You’ll Do: Support and evolve data orchestration platforms that streamline ETL and ELT workflows across the company Develop scalable integrations with tools like Kafka, S3, GCS, BigQuery, and Postgres for seamless data movement Own platform reliability, production monitoring, and incident response (on-call rotation with offshore support) Design with self-service in mind — empowering teams to launch data pipelines with minimal complexity Collaborate with data science, engineering, and analytics teams to optimize access to real-time and batch data Stay on top of emerging data technologies and help drive their adoption internally 🛠Tech You’ll Work With: Data streaming: Kafka, Flink, Spark Cloud platforms: GCP, AWS (GCS, S3, BigQuery, DynamoDB, etc.) Workflow orchestration: Airflow, Kubernetes Languages: Python, SQL (plus Java or Scala as a bonus) Data architecture: ELT/ETL design, distributed pipelines, real-time processing ✅ What You Bring: Deep understanding of data pipeline architecture and stream/batch processing Experience building internal data platforms or orchestration frameworks Strong hands-on skills in SQL and optimizing queries for large datasets Ability to communicate effectively with both engineering and non-engineering users Prior experience working in cloud-native environments (GCP or AWS preferred) A collaborative mindset and a passion for improving developer experience This is a high-impact engineering role where your work will directly influence the speed, scale, and reliability of data-driven decision-making across a major enterprise. If you're passionate about enabling teams, abstracting complexity, and building for scale , we’d love to hear from you. Let me know if you want to tailor this to a specific region, remote/in-office setup, or shorten it for outreach or social media! Show more Show less
