Worldpay

AWS Data Lake Engineer

Worldpay

full-time

Posted on:

Location Type: Office

Location: Bangalore • 🇮🇳 India

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Job Level

Mid-LevelSenior

Tech Stack

AWSPandasPySparkPython

About the role

  • Design, develop, and maintain scalable data pipelines using Python and AWS services
  • Implement and manage AWS Data Lake solutions, including ingestion, storage, and cataloging of structured and unstructured data
  • Apply data tokenization and masking techniques to protect sensitive information in compliance with data privacy regulations (e.g., GDPR, HIPAA)
  • Collaborate with data engineers, architects, and security teams to ensure secure and efficient data flows
  • Optimize data workflows for performance, scalability, and cost-efficiency
  • Monitor and troubleshoot data pipeline issues and implement robust logging and alerting mechanisms
  • Document technical designs, processes, and best practices
  • Provide support on Databricks and Snowflake
  • Maintain comprehensive documentation for configurations, procedures, and troubleshooting steps.

Requirements

  • 5+ years of experience working as a Python developer/architect
  • Strong proficiency in Python, with experience in data processing libraries (e.g., Pandas, PySpark)
  • Proven experience with AWS services such as S3, Glue, Lake Formation, Lambda, Athena, and IAM
  • Solid understanding of data lake architecture and best practices
  • Experience with data tokenization, encryption, and anonymization techniques
  • Familiarity with data governance, compliance, and security standards
  • Experience with Snowflake and/or Databricks (Nice to have)
  • Experience with CI/CD tools and version control (e.g., Git, CodePipeline)
  • Strong problem-solving skills and attention to detail.
Benefits
  • A competitive salary and benefits
  • Time to support charities and give back to your community
  • Parental leave policy
  • Global recognition platform
  • Virgin Pulse access
  • Global employee assistance program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Pythondata processingPandasPySparkAWS S3AWS GlueAWS Lake FormationAWS LambdaAWS AthenaAWS IAM
Soft skills
problem-solvingattention to detailcollaboration