Data Engineer - #1407844
SEKO Logistics
Date: 5 days ago
City: Schaumburg, IL
Contract type: Full time
Job Description
KEY ACCOUNTABILITIES INCLUDE:
Minimum
Current industry certifications from Microsoft cloud/data platforms or equivalent certifications. One or more of the following:
KEY ACCOUNTABILITIES INCLUDE:
- Design and develop scalable data pipelines to collect, process, and store large volumes of data.
- Collaborate with data scientists and analysts to drive scope & requirements as well as deliver strong technical design of data analytics solutions.
- Ensure data quality and integrity through cleansing processes, validation, and automated testing.
- Develop and maintain requirements, design documentation and test plans.
- Implement data integration solutions to combine data from various sources.
- Optimize data workflows for performance and reliability and reduced cloud consumption.
- Monitor and troubleshoot data pipeline issues to ensure smooth operation.
- Establish release management & CI/CD for data solutions.
- Provide direction and coordination for development and support teams including globally located resources.
- Participate in the development of a safe and healthy workplace. Comply with instructions given for their own safety and health and that of others, in adhering to safe work procedures. Co-operate with management in fulfilment of its legislative obligations.
- Other duties as assigned by management.
- Must be a self-starter capable of independently meeting objectives and interacting with members of various teams successfully
- Strong analytical background and mindset
- Demonstrated expertise in SOP development, training strategy, and process improvement
- Ability to elicit buy-in and cooperation from a variety of individuals as well as departments
- Hands-on, flexible, and responsive to dynamic fast paced work environment
- Capability managing several initiatives
- Strong team player with a continuous improvement mindset
Minimum
- Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
- 5 years’ experience in a data engineering role.
- 3 years’ experience building and supporting data lakehouse architectures using delta lake and change data feeds.
- 3 years’ experience with Spark and Python.
- 3 years’ experience writing code using OO programming.
- 3 years’ experience designing data warehouse table architecture such as star schema or Kimball method
- Experience developing and installing wheelhouse packages for managing dependencies and distributing code.
- Experience creating CI/CD pipelines for analytics solutions.
- Hands-on experience implementing data solutions using Microsoft Fabric.
- Experience with machine learning and data science tools.
- Knowledge of data governance and security best practices.
- Experience in a larger IT environment with over 3,000 users and multiple domains.
Current industry certifications from Microsoft cloud/data platforms or equivalent certifications. One or more of the following:
- Microsoft Certified: Fabric Data Engineer Associate
- Microsoft Certified: Azure Data Scientist Associate
- Microsoft Certified: Azure Data Fundamentals
- Google Professional Data Engineer
- Certified Data Management Professional (CDMP)
- IBM Certified Data Architect – Big Data
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