Senior Cloud-Based Data Engineering Specialist

6 days ago

Indore, Madhya Pradesh, India beBeeDataLake Full time ₹ 1,80,00,000 - ₹ 2,10,00,000
Job Title:

AWS Data Lake Engineer

Job Description:

We are seeking a skilled Senior AWS Data Lake Engineer to join our team. The ideal candidate will have extensive experience in designing, developing, and maintaining scalable data pipelines using Python and AWS services.

The successful applicant will implement and manage AWS Data Lake solutions, including ingestion, storage, and cataloging of structured and unstructured data. They will also apply data tokenization and masking techniques to protect sensitive information in compliance with data privacy regulations.

Our ideal candidate will collaborate with data engineers, architects, and security teams to ensure secure and efficient data flows. They will optimize data workflows for performance, scalability, and cost-efficiency.

The successful applicant will monitor and troubleshoot data pipeline issues and implement robust logging and alerting mechanisms. They will document technical designs, processes, and best practices.

Key Responsibilities:
  • Design and develop scalable data pipelines using Python and AWS services.
  • Implement and manage AWS Data Lake solutions.
  • Apply data tokenization and masking techniques.
  • Collaborate with data engineers, architects, and security teams.
  • Optimize data workflows.
  • Monitor and troubleshoot data pipeline issues.
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.

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