Would you enjoy a Data Operations role that includes processing data, data analysis, data development and LINUX shell scripting work? You will be performing (ETL) Extraction Transformation and Load tasks, the timely processing and delivery of data builds with varying frequencies, data build automation and automation/monitoring the pulse of a deployment process. The perfect candidate for this role will have the ability to work independently for various tasks, but they will also collaborate with various technical and non-technical audiences. The individual will support our data developers, software engineers, business analysts and data architects on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing project

Key Accountabilities

• Own a specific set or group of data transfers/builds in various capacities including transferring incoming data using sftp, unzip files, check files (correct name, correct number of files, not corrupt, matches layout, matches fixed length), create call in ECL to process files and enable movement through deployment process, review build statistics after processing.
• Perform simultaneous execution of multiple tasks following and reacting, when necessary, throughout the day.
• Produce shell scripts that are efficient, repeatable, without defects, and adherent to best practices and internal standards such as naming conventions, encapsulation, etc.
• Contributes to design, coding and reviews of moderate processes.
• Good level of intimacy within a specific data content area.
• Complete data engineering bug fixes and issues, researching and identifying root causes as appropriate.
• Identify opportunities to apply automation or other tools to improve effectiveness or efficiency.
• Innovate process improvements that enable efficient delivery and maintenance.
• Participate in the development processes, coding best practices, and code reviews for shell scripts and some data development code.
• Work with stakeholders including the Executive, Product, Data and Architecture teams to assist with data-related technical issues, enhancements and to support their data infrastructure needs.
• Complete simple data engineering bug fixes and resolves technical issues as necessary.

Qualifications:

• Bachelor's degree holder

• Minimum of 1-2 years of data or database management experience, skills, and competencies

• Experience with creating LINUX BASH shell scripting is required. (Strong LINUX ksh/bash scripting skills dealing manipulation of files and automation processes utilizing: crontab, awk, sed, cut, paste, variations of date, control structures: if/then/else, case/esac, while loops, for loops, functions, use of variables over hard coding, sourcing)

• Experience with ETL tasks.

• Experience with process automation.

• Experience with file and management SFTP.

• Experience with data analysis.

• Familiarity with using GIT Hub.

• Strong debugging/problem solving skills

• Experience with JAVA, JSON or Python is a plus.

• Must enjoy digging deep into problems.
• Attention to detail.
• Strong organizational skills.
• Ability to provide detail information and summarize to various levels of staff including management.
• Ability to effectively resolve issues/problems to reach a workable and successful solution.
• Ability to understand and develop systems of simple-to-moderate complexity.

• Ability to work in ambiguous situations.

• Ability to deliver a quality code product as scheduled.
• Ability and desire to learn new processes and technologies utilizing our HPCC systems and open-source code, ECL
• Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives