Senior Data Engineer

6 days ago

Cincinnati, Ohio, United States Worldpay Full time
About the Role

We are seeking an experienced Senior Data Engineer to join our Cloud Data Platform team at Worldpay. As a key member of our team, you will be responsible for designing, developing, and maintaining scalable workflows and orchestration systems using Astronomer and Airflow.

Key Responsibilities
  • Develop and implement strategies for data engineering initiatives using Python, AWS, Airflow, and Snowflake technologies.
  • Monitor trends in the data engineering industry and stay up to date on current technologies.
  • Collaborate with product team to develop solutions that meet their goals and objectives.
  • Act as a subject matter expert for Apache Airflow and provide technical guidance to team members.
  • Install, configure, and maintain Astronomer Airflow environments.
  • Build complex data engineering pipelines using Python and Airflow.
  • Create and manage Directed Acyclic Graphs (DAGs) to automate data pipelines and processes.
  • Leverage AWS Glue, Step Functions, and other services for orchestrating data workflows.
  • Develop custom operators and plugins for Astronomer to extend its capabilities.
  • Integrate code with defined CI/CD framework and AWS services required for building secure data pipeline.
  • Manage user access and permissions, ensuring data security and compliance with company policies.
  • Implement and monitor security controls, including encryption, authentication, and network security.
  • Conduct regular security audits and vulnerability assessments.
Requirements
  • 5+ yrs in a pivotal Software/Data Engineering role with deep exposure to modern data stacks, particularly Snowflake, Airflow, DBT, and AWS data services.
  • Proficiency in cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with PySpark/Hadoop and/or AWS Glue ETL and/or Databricks w/ python is preferred. Must have experience on ETL development life cycle, best practices of ETL pipelines, thorough work experience on data warehouse using combination of Python, Snowflake & AWS Services.
  • Data engineering experience with AWS Services (S3, Lambda, Glue, Lake Formation, EMR), Kafka, Streaming, Databricks is highly preferred.
  • Experience in Astronomer and/or Airflow.
  • Understanding data pipelines and modern ways of automating data pipeline using cloud-based testing and clearly document implementations, so others can easily understand the requirements, implementation, and test conditions.
What We Offer

At Worldpay, we offer a competitive salary and benefits package, as well as opportunities for career growth and professional development. If you are a motivated and experienced data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity.

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