Lead Data Engineer in Atlanta, GA (Remote untll Covid)
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Title:
Lead Data Engineer Location: Atlanta, GA (Remote until Covid) Duration: 6 months Contract Job Overview:
The Lead Data Engineer will develop, test and maintain architecture, including databases and processing systems, to support a robust analytical pipeline that facilitates priority analytics use cases.
The Lead Data Engineer will ensure these data processing capabilities meet business requirements, use case and user needs while providing reliable, efficient and quality data.
Essential Functions: Data Management & Preparation
Adhere to processes to ensure data pulled from various sources meets quality standards, is curated and enhanced for analytical use and there is a "single source of truth"
Work with counterparts from Tech to build frameworks that integrate data pipelines and machine learning models that facilitate use by data scientists for priority use cases;
Enterprise Data and Analytics team focused on "last mile" transformations on select data required for use cases
Maintain database structure and standard definitions for business users across Client Work with data architects to build the foundational extract / load / transform process and regularly review the architecture and recommend effectiveness improvements
Collaborate with Technology to future-proof data & analytics software, tools and code to reduce risk and support pipeline owners
Work with Legal and Privacy teams to adhere to data privacy and security standards
Work with Data Architect to implement the data models, standards and quality rules
Work with the Data Science team to understand data formatting and sourcing needs to enable them to build out use cases as efficiently as possible
Culture:
Community builder to foster data and analytics culture and to support data-driven thinking and discussions across priority analytics use case
Embody data-driven culture at Client
Bolster awareness, knowledge and conviction around datadriven practices and behaviors, increasing digital IQ of Business Units
Proactively raise data issues and take action to remediate
Support business users in identifying the correct data sets and providing easy to use tools to pull data
Key Performance Indicators:
Quantity, type, and quality of databases and pipelines, in partnership with Technology
Compliance with relevant laws and regulations, in partnership with Legal/Privacy
Automation of data cleansing and harmonization processes in refined/trusted zones
Qualifications and Competencies:
Bachelor's Degree from a 4-year college or university
5+ years of work experience, and at least 3 years of demonstrable experience in the role’s relevant technologies and field of expertise
Ability to write production level code, assess databases and leverage Big Data technologies on Google Cloud Platform to support downstream analytics
Familiarity with data architecture, modeling and security
Experience in distributed computing and enterprise environment
Ability to effectively share technical information, communicate technical issues and solutions to all levels of business
Able to juggle multiple projects - can identify primary and secondary objectives, prioritize time and communicate timeline to team members
Ability and desire to take product/project ownership
Ability to think creatively, strategically and technically
Thanks, Purushotham K | Talent Acquisition HL Solutions LLC
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