AWS Glue Expert with Python Development

1 day ago


Northampton, Northamptonshire, United Kingdom N Consulting Limited Full time
N Consulting Limited

**Salary: £60,000 - £80,000 per annum**

Job Overview:

We are seeking a highly skilled Python Developer to join our team at N Consulting Limited. The ideal candidate will have a strong background in AWS services and experience in building and managing data pipelines using AWS Glue and other AWS services.

Key Responsibilities:
  1. Design and Implement Scalable Data Pipelines: Develop, deploy, and maintain scalable data pipelines using AWS Glue, Python, and related AWS services.
  2. ETL Scripting: Write efficient ETL scripts for data extraction, transformation, and loading across various sources and destinations.
  3. Collaboration: Collaborate with data engineers, data scientists, and stakeholders to gather requirements and ensure optimal data workflows.
  4. Performance Optimization: Monitor and optimize performance for Glue jobs, ensuring cost-effectiveness and scalability.
  5. Best Practices: Implement and enforce best practices for data governance, security, and compliance using AWS services.
  6. AWS Services Utilization: Utilize other AWS services like S3, Lambda, Athena, CloudWatch, IAM, DynamoDB, and Redshift for data integration and processing tasks.
  7. Troubleshooting: Troubleshoot and resolve issues in existing data pipelines and workflows.

As a key member of our team, you will participate in Agile ceremonies such as sprint planning, daily standups, and retrospectives.

Requirements:
  • 6+ years of experience in Python programming with a focus on data processing.
  • Proficient in AWS Glue, including Glue ETL scripts and Glue Studio.
  • Solid experience with other AWS services like S3, Lambda, CloudWatch, Athena, and Redshift.
  • Strong understanding of data pipeline design and ETL processes.
  • Hands-on experience with SQL for querying and transforming data.
  • Familiarity with Spark or distributed data processing frameworks.
  • Knowledge of data formats like JSON, Parquet, and Avro.
  • Experience with version control tools like Git and CI/CD pipelines.
  • Strong problem-solving skills and ability to troubleshoot complex data workflows.
  • Familiarity with Agile methodologies and tools like Jira.
Preferred Qualifications:
  • AWS certification (e.g., AWS Certified Developer, AWS Certified Solutions Architect).
  • Experience with DevOps practices and Infrastructure as Code (IaC) using tools like CloudFormation or Terraform.
  • Knowledge of Data Lakes, Data Warehousing, and Big Data technologies.
  • Familiarity with scheduling tools like Apache Airflow or AWS Step Functions.
  • Experience working with serverless architectures and microservices.


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