Collaborate with Data architects, Enterprise architects, Solution consultants and Product engineering teams to capture customer data integration requirements, conceptualize solutions & build required technology stack
Collaborate with enterprise customer's engineering team to identify data sources, profile and quantify quality of data sources, develop tools to prepare data and build data pipelines for integrating customer data sources and third party data sources with Adobe solutions
Develop new features and improve existing data integrations with customer data ecosystem
Encourage team to think out-of-the-box and overcome engineering obstacles while incorporating new innovative design principles
Collaborate with a Project Manager to bill and forecast time for customer solutions

Requirements

Experience as an enterprise Data Engineer from a consulting background
AWS Certified Data Engineer – Associate or AWS Certified Cloud Practitioner
5+ years experience in building/operating/maintaining fault tolerant and scalable data processing integrations using AWS
7+ years experience in Python programming language preferably using PySpark
Software development experience working with Apache Airflow, MongoDB, MySQL
Strong capacity to manage numerous projects are a must
Experience using Docker or Kubernetes is a plus
BS/MS degree in Computer Science or equivalent industry experience

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data integrationdata pipelinesAWSPythonPySparkApache AirflowMongoDBMySQLDockerKubernetes

Soft Skills

collaborationproblem-solvingproject managementinnovationteamwork

Certifications

AWS Certified Data Engineer – AssociateAWS Certified Cloud Practitioner