NTT DATA
Python Engineer W/Linux (Onsite Hybrid)
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Python Engineer w/Linux (Onsite Hybrid) to join our team in Alpharetta, Georgia (US-GA), United States (US). Job Responsibilities Include:
The primary focus of the role is onboarding new applications data in the firm compliant formats. Review data set and automate use cases to ensure data is in required format. Coordinate with different stakeholders involved in the process. Manage and prioritize the tasks according to discussion with the stakeholders. Additionally, the candidate would also be responsible for the improvement of the archive process, including process documentation, best practices, tracking, and scoping. Candidates must be well organized, have strong communication and interpersonal skills. The candidates should be detail-oriented and possess strong analytical skills. They must demonstrate initiative, good judgment, be confident working independently and be comfortable handling sensitive, confidential information. Basic Qualifications:
5+ years of IT experience working on an enterprise application. 3+ years of professional experience in development with scripting languages like Python, Perl, shell scripting (one or more). 3+ years of experience with providing support for Linux environment, including job scheduling, job monitoring, and troubleshooting. Preferred Skills:
Experience in troubleshooting scripts written in Perp, Python and shell script. Experience with Splunk or other data indexers to query data and generate graphs. Experience with email data parsing and knowledge of email standards including SMTP, MIME, Sendmail and Exchange Journaling. Experience with Archive products e.g Micro Focus/Autonomy DigitalSafe. Experience working with regulatory, compliance and/or litigation group within the Financial Industry. Exposure to Networking, storage technologies and infrastructure. Exposure to email data parsing and processes involving large data set will be desirable.
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Python Engineer w/Linux (Onsite Hybrid) to join our team in Alpharetta, Georgia (US-GA), United States (US). Job Responsibilities Include:
The primary focus of the role is onboarding new applications data in the firm compliant formats. Review data set and automate use cases to ensure data is in required format. Coordinate with different stakeholders involved in the process. Manage and prioritize the tasks according to discussion with the stakeholders. Additionally, the candidate would also be responsible for the improvement of the archive process, including process documentation, best practices, tracking, and scoping. Candidates must be well organized, have strong communication and interpersonal skills. The candidates should be detail-oriented and possess strong analytical skills. They must demonstrate initiative, good judgment, be confident working independently and be comfortable handling sensitive, confidential information. Basic Qualifications:
5+ years of IT experience working on an enterprise application. 3+ years of professional experience in development with scripting languages like Python, Perl, shell scripting (one or more). 3+ years of experience with providing support for Linux environment, including job scheduling, job monitoring, and troubleshooting. Preferred Skills:
Experience in troubleshooting scripts written in Perp, Python and shell script. Experience with Splunk or other data indexers to query data and generate graphs. Experience with email data parsing and knowledge of email standards including SMTP, MIME, Sendmail and Exchange Journaling. Experience with Archive products e.g Micro Focus/Autonomy DigitalSafe. Experience working with regulatory, compliance and/or litigation group within the Financial Industry. Exposure to Networking, storage technologies and infrastructure. Exposure to email data parsing and processes involving large data set will be desirable.