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Data Engineer (Python)OpenkyberIndiana, Pennsylvania, United States
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Data Engineer (Python)

Openkyber
  • US
    Indiana, Pennsylvania, United States
  • US
    Indiana, Pennsylvania, United States

À propos

Job Title: Data Engineer (Python, SQL, AWS) HYBRID ROLE (2 weeks a month onsite)
Location: Durham, NC
Duration: Long term
Job Description What are the top three MUST have soft skills and technical skills (experience candidates must have coming in the door)?
Python (need to know Python language to extract critical elements and re-build in new ecosystem)
SQL
AWS (brand new solutions built on AWS, breaking down on-prem databases/pipelines into the AWS ecosystem)
Data Warehouse experience
Must be a solid communicator
The Role If you are an experienced Software engineer with a passion for data and databases, who enjoys data analysis, data modelling and creating ETL data flows, and wants to be a part of a collaborative team environment where you will have wealth of opportunities to innovate and have intellectual curiosity to learn, a career in Customer Data Technologies in Fidelity Wealth may be right for you!
You will be part of a team that is building a Snowflake based enterprise-wide Data Lake on AWS.
The Expertise and Skills You Bring
Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required.
Extensive experience in relational databases like Oracle or Snowflake
Development experience using Python
Experience in Data warehousing, data modelling and creation of data marts.
Experience in developing data applications in Cloud (AWS/Azure/Google Cloud)
Experience with ETL technologies (Informatica/Snaplogic etc)
Experience with Business Intelligence and Dashboards is a plus
Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker) is a plus
Experience in Agile methodologies (Kanban and SCRUM) is a plus
For applications and inquiries, contact: hirings@openkyber.com
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  • Indiana, Pennsylvania, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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