Job Title

Position Overview

We are looking for a data engineer to join our enterprise analytics team! This individual will partner with data scientists, analysts and product owners to support data science projects and initiatives across the enterprise – including in our manufacturing, planning/forecasting and customer service areas.

Applicant must be an experienced data pipeline builder who enjoys building solutions from the ground up. We are looking for someone who is self-directed and comfortable supporting the data needs of multiple teams and projects.

Responsibilities:

• Partner with data scientists, data analysts, data stewards and product owners to understand data needs and develop solutions

• Design, build, launch and maintain efficient and reliable data pipelines to support data analysis and machine learning models

• Define and manage standards, guidelines and processes to ensure data quality

• Assemble large, complex datasets based on business requirements

• Identify and deploy various methods and techniques for optimal extraction, transformation and loading of data from a wide variety of data sources

• Help build and maintain best practices for our data engineering strategy – identifying and addressing gaps in existing processes and solutions

Minimum Qualifications:

• Bachelor’s degree in a quantitative field (e.g., Computer Science, Engineering) or a related quantitative field or equivalent work experience is required.

• At least 4-6 years of work experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.

• Expert SQL programming skills

• Expertise in at least one relevant object-oriented programming language (e.g., Python, Scala)

• Experience building and optimizing data pipelines, architectures and data sets

• Experience with big data tools (Spark, Kafka, etc.)

• Experience in data warehousing and data modeling

• Good knowledge of data management, data integration, and database development techniques with a good understanding of data architecture principles

• Strong analytical and problem solving skills

• Ability to communicate across all levels of the organization and work with diverse project teams

• Experience using cloud-based infrastructure such as Azure and AWS

• Experience in DevOps best practices including CI/CD, process automation and optimization

Preferred Qualifications:

• Experience with designing and implementing real-time pipelines

• Experience with data quality and validation

• Experience working in an Agile environment

Required Competencies:

• Make Effective Decisions

• Drive Results

• Demonstrate Strategic Influence

• Demonstrate Customer Orientation

The position may be filled as a data engineer or senior data engineer based on experience.

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