Description

Georgia-Pacific is seeking a Data Engineer in the data engineering program delivering a ground up data lake build. This role will be responsible for hands-on delivery work of data engineering designs and implementations aligned to best practices and consistently implemented providing business value. The Data Engineer is required to possess proven expertise and development skill in data engineering including modern cloud data lake ingestion, migration, management, and consumption patterns enabling analytics solution development and delivery across the enterprise at scale.
What You Will Do In Your Role

• Engineering and software development skills in the delivery of full data lifecycle frameworks and patterns including data acquisition, migration, storage, transformation, prep, and consumption to support a ground up Enterprise Data Lake build for use in analytics solutions at different maturity levels between data science and operational teams
• Hands-on data engineering design and implementations including data ingestion, data models, data structures, data storage, high-throughput data processing, data pipelines, and data monitoring at scale
• Follow data engineering best practices with considerations for high data availability, computational efficiency, cost, and quality
• Build and maintain environments, processes, functionalities, and tools to improve all stages of data lake implementation and analytics solution development, e.g., proof of concepts, prototypes, and production
• Deliver capability for repeatable, configuration driven automation throughout the data lifecycle based on designated approaches
• Maintain awareness of relevant technology trends and product updates (i.e. AWS Services)
• Skills implementing general IT concepts, strategies, methodologies, modern application and data engineering architectures and approaches including cloud, streaming, event based, IoT data, and edge server capability
• Write complex programs, enabling automation in cloud environments
• Implement configuration driven, reusable, automation frameworks consistent with designed approaches
• Apply DevOps best practices, CI/CD processes and tools, testing frameworks
• Optimize data solutions for multi-petabyte data systems in batch, streaming, and event approaches
• Work with agile methodologies, cross-functional teams (Product Owners, Scrum Masters, Developers, Test Engineers), backlog grooming, and tooling
• Ensure alignment and best practices for data governance

The Experience You Will Bring
Requirements:

• 3+ years of professional experience in data engineering related roles - full software development lifecycle, DBA, data architect, data engineer
• 1+ years specific experience in modern data engineering and cloud data practices including various data lake ingestion techniques, ETL/ELT, consumption, and operations
• Working experience in data analytics (data wrangling, mining, integration, analysis, visualization, data modeling, analysis/analytics, and reporting) using BI (Business Intelligence) tools

What Will Put You Ahead

• Expertise in AWS services including S3, EC2, SQS, EMR, Lambda, Step Functions, Terraform, Glue, Redshift, Athena, DynamoDB, Cloudwatch, and IAM; Programming background and ability to utilize a variety of software/languages/tools, e.g., Python, Scala, Java, Spark, Hive, SQL; Linux including Korn shell, scripting, and regex
• Degree in Computer Science or equivalent work experience

This role is open to remote candidates.

Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.

At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.

Equal Opportunity Employer, including disability and protected veteran status.
Except where prohibited by state law, all offers of employment are conditioned upon successfully passing a drug test.
This employer uses E-Verify. Please visit the following website for additional information: www.kochcareers.com/doc/Everify.pdf