AWS Glue Architect

7 days ago


Chennai, Tamil Nadu, India Cortex Consulting Pvt. Ltd. Full time


We are seeking a highly experienced and motivated AWS Glue Architect to join our team and play a leading role in designing, developing, and managing our data lake architecture on AWS Glue.


What We Expect From This Role :

Experience :
years of experience in software development and data engineering.

  • Proven track record of designing, developing, and implementing data lake solutions using AWS Glue.
- (Preferred) Experience with data modeling methodologies and best practices.

Technical Skills :

  • Indepth knowledge of AWS services, particularly AWS Glue, S3, Lambda, Athena, and related data lake components.
  • Expertise in Python and Spark for data processing and transformation.
  • Strong proficiency in SQL for querying and manipulating data.
  • Familiarity with data quality and data governance practices.
  • Experience with CI/CD pipelines for automating data lake deployments (a plus).
  • Experience with cloud security best practices for protecting data in the cloud (a plus).

Soft Skills :

  • Excellent communication and collaboration skills to work effectively with crossfunctional teams (data scientists, data analysts, business stakeholders).
  • Strong problemsolving and analytical skills.
  • Ability to translate business requirements into technical solutions.
  • Ability to work independently and manage multiple projects simultaneously.
  • A proactive and resultsoriented approach to work.

Additional Skills (Preferred) :

  • Experience acting as a Point of Contact (POC) for clients or internal teams, managing expectations and providing technical guidance.
  • Familiarity with data visualization tools like Tableau or Power BI (a plus).

Responsibilities :

  • Design and architect scalable data lake solutions using AWS Glue.
  • Develop and implement data pipelines for data ingestion, transformation, and cleansing.
  • Define data schemas and data quality rules to ensure data consistency and accuracy.
  • Configure and manage AWS Glue crawlers, jobs, and workflows.
  • Monitor and optimize data lake performance and resource utilization.
  • Implement security best practices to protect data within the data lake.
  • Collaborate with data scientists, data analysts, and business stakeholders to understand data requirements and design solutions.
  • Stay uptodate with the latest advancements in AWS Glue features and best practices.
  • Document data lake architecture and processes for future reference.
(If applicable) Act as a technical point of contact for clients or internal teams, providing guidance and support.

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