
Senior Data Engineer
Trust Wallet
full-time
Posted on:
Location Type: Remote
Location: Anywhere in the World
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Job Level
About the role
- Architect and maintain robust, scalable, and secure data infrastructure on AWS leveraging Databricks.
- Design, develop, and maintain data pipelines using tools like Airbyte.
- Oversee the creation and maintenance of the data lake.
- Integrate tools like Airbyte with various data sources.
- Optimize data pipelines and data lake storage.
- Implement best practices for data governance, security, and compliance.
- Work closely with platform engineers, data analysts, and other stakeholders.
Requirements
- 3+ years of experience as a Data Engineer.
- Strong experience with Databricks and AWS services including but not limited to S3, Glue, Lambda, Redshift, and IAM.
- Hands-on experience with Airbyte or similar ETL tools.
- Experience writing services and connectors in Python/Go.
- Solid understanding of data modeling, SQL, and database concepts.
- Experience implementing security and governance best practices in cloud environments.
Benefits
- Excellent learning and career development opportunities.
- Work alongside diverse, world-class talent.
- Work fully remotely with flexible working hours.
- Enjoy competitive salary and benefits.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata pipelinesdata lakeETLPythonGoSQLdata modelingAWSDatabricks
Soft Skills
collaborationcommunicationproblem-solvingorganizational skills