Sr. Data Engineer

SEKO Logistics • Schaumburg, IL

5d

About The Position

About SEKO SEKO started out in business in 1976, operating out of a single Chicago office. Since then, we have built a solid reputation throughout the world as an innovative and flexible provider of first-class logistics services. We provide complete Supply Chain Solutions, specializing in transportation, logistics, forwarding and warehousing. We also lead the industry with innovative and customizable IT solutions, which provide a seamless flow of information and give our growing customer base true supply chain visibility. With over 120 offices in 40 countries worldwide, our unique shareholder management model enables you to benefit from Global implementation experience and expertise across all industry sectors, coupled with vital in-country knowledge and service at the local level. 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.

Requirements

• 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).
• 8 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.
• Current industry certifications from Microsoft cloud/data platforms or equivalent certifications.

Nice To Haves

• Preferred Masters degree in a related field
• 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.
• 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

Responsibilities

• 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.

Benefits

• Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account (IL only), Flexible Spendings Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Accident, Critical Illness and hospital indemnity program, Life Insurance, AD&D, Wellbeing Program and Work/Life Resources (including Employee Assistance Program)
• Leave Benefits: Paid Holidays, Annual Paid Time Off (includes paid state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave)
• Retirement Benefits: Contributory Savings Plan (401k).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees