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Data platform engineer

Data platform engineer

Wimmer SolutionsJaipur, IN
20 days ago
Job 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!

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