Senior Data Engineer

Trust Wallet

WorldwideFully remoteFull TimeSeniorInformation Technology
No salary statedPosted 1w ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 13 days ago · apply link checked 2 hours ago

About the role

Responsibilities

  • Architect and maintain robust, scalable, and secure data infrastructure on AWS leveraging Databricks
  • Design, develop, and maintain data pipelines using Airbyte and custom-built services in Go
  • Oversee the creation and maintenance of the data lake, ensuring efficient storage, high data quality, and effective partitioning
  • Integrate Airbyte with various data sources and build custom connectors in Go
  • Optimize data pipelines and data lake storage for performance, scalability, and low latency
  • Implement best practices for data governance, security, and compliance in AWS and Databricks
  • Collaborate with platform engineers and data analysts to document infrastructure and processes

Requirements

  • 3+ years of experience as a Data Engineer focusing on data lake architecture and ETL pipelines
  • Strong experience with Databricks and AWS services (S3, Glue, Lambda, Redshift, IAM)
  • Hands-on experience with Airbyte or similar ETL tools
  • Proficiency in writing services and connectors in Python or Go
  • Solid understanding of data modeling, SQL, and database concepts
  • Experience implementing security and governance best practices in cloud environments

About the Company

Trust Wallet is the leading non-custodial cryptocurrency wallet, trusted by over 200 million people worldwide to securely manage and grow their digital assets. Its mission is to help users safely navigate Web3, the on-chain economy, and the emerging AI-powered future.

What we look for

  • 3+ years of Data Engineering experience
  • Proficiency in Databricks and AWS (S3, Glue, Lambda, Redshift, IAM)
  • Experience with Airbyte or similar ETL tools
  • Proficiency in Python or Go
  • Strong SQL and data modeling skills
  • Experience in cloud data governance and security
AWSDatabricksAirbytePythonGoSQL
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