Client Reference Code: 2024-39292

JOB SCOPE

Responsible for maintaining scalable, reliable, consistent and repeatable systems that support data operations for Reporting, Analytics, Applications, and Data Science by gathering and processing raw data at scale. Profiles data to measure quality, integrity, accuracy, and completeness and delivers solutions by developing, testing, and implementing code and scripts. Develop data set processes for data modeling, mining, and consumption.

DUTIES AND RESPONSIBILITIES

Create and maintain scalable, reliable, consistent and repeatable systems that support data operations for Reporting, Analytics, Applications, and Data Science.Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.).Use ETL processes in order to maintain, improve, clean, and manipulate data.Profile data to measure quality, integrity, accuracy, and completeness.Develop and implement tools, scripts, queries, and applications for ETL/ELT and data operations.Design, build, and automate Machine Learning Data Pipeline.Deliver solutions by developing, testing, and implementing code and scripts.Produce reports and uphold data delivery schedules.Manage life cycle of multiple data sources.Work closely with stakeholders on the data demand side (analysts and data scientists).Increase speed to delivery by implementing workload/workflow automation solutions.Perform other duties as assigned.

BASIC / MINIMUM QUALIFICATIONS

Bachelor's degree in an engineering discipline or computer scienceMinimum five (5) years of Hands-on working experience with AWS, RDBMS, SQL, scripting, and coding experienceMinimum three (3) years of Linux/Unix/CentOS system admin experience. 

REQUIRED QUALIFICATIONS

Ability to use a wide variety of open source technologies and cloud servicesExtensive coding/scripting experience using Python, R, shell scriptsExtensive experience with SQL, Tableau, ML Pipeline techniques, and ETL techniquesExtensive background in Linux/Unix/CentOS installation and administration; Windows experience preferredExtensive knowledge in data storage that demonstrates knowledge of when to use a file system, relational database, or NoSQL variantExtensive experience with Spark, and Hadoop/HiveExtensive experience with AWS tools and servicesExtensive familiarity with JavaScript API, Rest API or Data Extract APIsExtensive experience receiving, converting, and cleansing big dataExtensive experience with visualization or BI tools, such as TableauExtensive experience with data virtualization concepts, and software (Denodo, Teiid, Jboss)Extensive experience with data workflow/data prep platforms, such as Infomatica, Pentaho, or TalendAbility to identify and resolve end-to-end performance, network, server, and platform issuesEffective attention to detail with the ability to effectively prioritize and execute multiple tasks

PREFERRED QUALIFICATIONS

Extensive experience with JavaScript API, Rest API or Data Extract APIsExtensive experience with data workflow/data prep platforms, such as Infomatica, Pentaho, or TalendExpert knowledge of best practices and IT operations in an always-up, always-available serviceExtensive experience with data virtualization concepts, and software (Denodo, Teiid, JBoss)Extensive experience with AWS tools and servicesExtensive experience receiving, converting, and cleansing big dataExtensive experience with visualization or BI tools, such as TableauExtensive experience receiving, converting, and cleansing dataExtensive knowledge of best practices and IT operations in an always-up, always-available serviceAbility to create proof of concept experiments for analytics, machine learning, or visualization tools that include hypothesis, test plans, and outcome analysisLeadership experience in advanced operational analytics

Job Code : EGN319

2024-39292
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A qualified applicant’s criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.
FCC Unit: 13526 Business Unit: Network Operations Zip Code: 63017

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