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PDS Tech Inc Data Engineer in Saint Louis, Missouri

PDS Technical is currently sourcing for a Data Engineer

The Data Engineer designs, implements and maintains data pipelines for handling large volumes of data in order to scale analytics, machine learning, and other digital technologies. The Data Engineer also creates, manages, and publishes datasets including extracting, transforming, merging and loading data from various datasources.

PRIMARY RESPONSIBILITIES

• Design, create, and maintain scalable data pipelines that ingest and aggregate data from various factories to build out a centralized dataset repository using Microsoft Azure and other third party products.

• Implements processes and solutions that ensure pipeline efficiency and monitor the data quality and pipeline status.

• Collaborate with ML Engineers, Data Scientists, and other team members to identify and transform data for ingestion, exploration, and modeling.

• Develop Data Catalogs/Data Dictionaries.

Perform all other duties as assigned

OTHER DUTIES AND RESPONSIBILITIES (List job duties which may be important to the performance of the job, but are not principal job functions).

• Participate in project planning, identifying milestones and deliverables.

• Manage and track activities and efforts.

• Document the design and artifacts that are created as part of the primary responsibilities.

• Learn Purina’s manufacturing business as part of the job. Opportunities will be provided for the same.

• Support the current technologies while adhering and following Nestle standards and best practices.

• Support/troubleshoot Factory data pipelines.

BASIC QUALIFICATIONS (Minimum):

• Education: BS degree in related field preferred but not required.

.

Experience (Years/Type):

Minimum 4 years work experience in Data Engineering, Cloud Engineering, Data Science or a related field with experience in working with large volumes of data.

Skills

• Experienced in Microsoft Azure including Azure Data Factory, IoT Edge/IoT Hub, Storage Accounts, Databricks, etc.

• Python programming experience

• Ability to handle multiple tasks, have excellent attention to detail and be willing and able to learn new technologies quickly.

• Experienced in working with DevOps and/or MLOps• Microsoft Azure Certification is preferred but not required.

• Solid verbal and written communication skills.

• Experience with C# and \or Java is a preferred.

• Manufacturing experience is preferred.

Last Login Time: 09/27/2021 09:36 AM CDT

BASIC QUALIFICATIONS (Minimum):

• Education: BS degree in related field preferred but not required.

.

Experience (Years/Type):

Minimum 4 years work experience in Data Engineering, Cloud Engineering, Data Science or a related field with experience in working with large volumes of data.

Skills

• Experienced in Microsoft Azure including Azure Data Factory, IoT Edge/IoT Hub, Storage Accounts, Databricks, etc.

• Python programming experience

• Ability to handle multiple tasks, have excellent attention to detail and be willing and able to learn new technologies quickly.

• Experienced in working with DevOps and/or MLOps• Microsoft Azure Certification is preferred but not required.

• Solid verbal and written communication skills.

• Experience with C# and \or Java is a preferred.

• Manufacturing experience is preferred.

All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.

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