Lead Cloud Data Engineer

Chartwell Investment Partners

St. Petersburg, FL, US
Base salary not specified; + compensation may incl...
Hybrid
Aws glue and pyspark expertise
Amazon redshift integration experience
Terraform infrastructure as code
The role involves designing and developing scalable ETL pipelines using AWS Glue and PySpark to integrate data into Amazon Redshift

Job Summary

  • The role involves designing and developing scalable ETL pipelines using AWS Glue and PySpark to integrate data into Amazon Redshift.
  • Candidates must be willing to work in a hybrid model requiring presence in the office 2-3 days per week at one of four specified locations.
  • The position offers a comprehensive benefits package including medical, dental, vision, life insurance, and retirement savings.

Matching Summary

The role involves designing and developing scalable ETL pipelines using AWS Glue and PySpark to integrate data into Amazon Redshift.

Salary

Base salary not specified; Additional compensation may include cash or equity; Discretionary bonuses or commissions possible

Skills & Requirements

Must-have

  • AWS Glue and PySpark expertise
  • Amazon Redshift integration experience
  • Terraform Infrastructure as Code
  • Python programming proficiency
  • Hybrid work model availability

Nice-to-have

  • Kafka streaming patterns knowledge
  • Airflow orchestration experience
  • SageMaker machine learning exposure
  • Financial services industry background
  • Mentoring junior engineers skills

Key Requirements

  • Bachelor's degree in Computer Science
  • 6 to 10 years of general experience
  • Expert level AWS Cloud Services knowledge

Work Rights

Not specified

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