See yourself at Odyssey.

Join the team as our new Data Engineer!

Who We Are & Why We're Hiring

Odyssey Logistics & Technology Corporation (Odyssey) is a global logistics provider. Our adaptive approach to solving modern logistics challenges differentiates us in the markets we serve. Odyssey Logistics & Technology's specialized multimodal expertise is the strategic foundation that provides clients with a full-service offering across our four operating divisions including intermodal, freight forwarding, transport & warehousing, and managed services.

Odyssey's multimodal services offer cost-effective, end-to-end freight solutions equipped to deliver on evolving customer requirements. Combined, Odyssey delivers innovative, high-value logistics services & technology solutions to support diverse customer requirements. In addition to being certified by the American Chemistry Council as a Responsible Care partner company we consistently exceed customer expectations by integrating analytics, carrier relationships, specialized assets, sustainability strategies and deep international expertise. Our unique approach ensures that customer shipments keep moving at full speed, even in the face of ever-changing market headwinds.

Based in vibrant Charlotte, NC, Odyssey is on a journey to constantly innovate logistics. We're actively recruiting for this key, high profile role in the company because we have experienced tremendous growth and would love for you to join us!

Visit us at:

About the Job:
Odyssey logistics and Technology is looking for a talented and motivated Data Engineer with Python, PySpark, Databricks & AWS knowledge to join our team and help us build and maintain data analytics pipelines on the Databricks platform. You will be responsible for designing, developing, and deploying scalable and efficient data pipelines using Python, PySpark and other relevant technologies.

In This Role, You Will:

We are looking for a Data engineer with hands-on cloud data migration development experience. The candidate should have experience in supporting enterprise applications and exposure to Cloud based database engineering platforms. Build data integrations between on-prem/cloud-based systems.

• Design, develop, and maintain scalable and efficient data pipelines for extracting, transforming, and loading (ETL) data from various sources into our data warehouse leveraging AWS, Databricks, Python and SQL technologies.
• Optimize and troubleshoot existing data pipelines for performance and reliability.
• Implement data quality and validation processes to ensure accuracy and consistency of data.
• Work closely with data scientists, analysts, and other stakeholders to understand data use cases and provide the necessary infrastructure and support.
• Participating in technical design, application build, configuration, unit testing, and production deployment.
• Providing technical expertise and ownership in the diagnosis and resolution of issues, including the determination and provision of workaround solution or escalation to service owners.

The impact you will have:

• End to end Cloud Data Lake design & development including data ingestion, data modeling and data distribution.
• Optimize data pipelines for performance and efficiency. Monitor data pipelines and troubleshoot any issues.
• Work with Databricks clusters and configuration management tools.
• Use appropriate tools in the cloud data lake development and deployment. Developing/implementing cloud infrastructure to support current and future business needs.
• Provide technical expertise and ownership in the diagnosis and resolution of issues, including the determination and provision of workaround solution or escalation to business owners.
• Ensure all cloud solutions exhibit a higher level of cost efficiency, performance, security, scalability, and reliability.

Qualifications
We recognize not all applicants have every skill or qualification to match a job description exactly. Odyssey values diverse experiences in other industries, and we encourage everyone who meets most required qualifications to apply. While having "desired" qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. We are always looking for people who will bring something new to the table!

Required:

• Bachelor's degree or experience in Data Science and Management field.
• 3+ years of experience developing and implementing data pipelines, experience as a Data Engineer or similar role.
• Familiarity with Databricks platform and its capabilities.
• Familiarity with cloud platforms, such as AWS, Azure, or Google Cloud.
• Proficiency in SQL and experience with relational databases.
• Proficiency in at least one programming language (e.g., Python, Java, Scala) for data processing and scripting.
• Knowledge of data modeling and database design principles.
• Excellent problem-solving and communication skills.
• Ability to work independently and with team members from diverse backgrounds.
• Excellent attention to detail

Desired:

• Experience with AWS cloud platform.
• Experience with DevOps practices
• SSRS/SSIS

Location: This is an in-office role based in Charlotte, NC

We offer a generous compensation and benefits package including:

• Choice of medical plans with FSA, HRA and HSA options
• Company-paid dental and life/disability Plans
• 401K with company match
• Preferred vendor discounts
• Competitive Paid Time Off

No relocation allowance will be considered unless specifically addressed. All applicants must be currently authorized to work in the United States.

• 1916 Ayrsley Town Blvd suite 400, Charlotte, NC 28273, USA