Who we are
Gatik, the leader in autonomous middle mile logistics, delivers goods safely and efficiently using its fleet of light & medium-duty trucks. The company focuses on short-haul, B2B logistics for Fortune 500 customers including Kroger, Walmart, Tyson Foods, Loblaw, Pitney Bowes, Georgia-Pacific, and KBX; enabling them to optimize their hub-and-spoke supply chain operations, enhance service levels and product flow across multiple locations while reducing labor costs and meeting an unprecedented expectation for faster deliveries. Gatik’s Class 3-7 autonomous box trucks are commercially deployed in multiple markets including Texas, Arkansas, and Ontario, Canada.
About the role
As a member of our team, you'll have the opportunity to work on cutting-edge technologies and contribute to groundbreaking projects that are shaping the future of transportation. If you're passionate about automation, innovation, and making a meaningful impact, we invite you to join us on this exciting journey.
What you'll do
- Create, optimize, and maintain scalable data pipelines to collect, process, and store large volumes of data from various sources.
- Implement ETL (Extract, Transform, Load) processes to ensure data quality and integrity.
- Design and implement data architectures that support efficient data storage, retrieval, and analysis.
- Integrate data from multiple sources, including APIs, databases, and third-party services.
- Optimize data processing workflows for maximum efficiency and speed.
- Implement techniques such as data partitioning and indexing to improve query performance.
- Ensure data security, privacy, and compliance with relevant regulations.
- Implement access controls, encryption, and other security measures.
- Work closely with data scientists, analysts, and other stakeholders to understand data needs and provide necessary support.
- Develop tools and frameworks to enable data analysis and reporting.
- Monitor the performance and health of data systems and pipelines.
- Troubleshoot and resolve issues to ensure data availability and reliability.
- Maintain comprehensive documentation of data systems, pipelines, and processes.
- Ensure documentation is up to date and accessible to relevant team members.
- Stay updated on the latest data engineering tools and technologies.
- Evaluate and recommend new tools and technologies to improve data engineering processes.
What we're looking for
- 5-7 years of industry experience in data engineering or related roles.
- Strong proficiency in Python, with experience in developing data pipelines and ETL processes.
- Experience with data storage solutions (e.g., SQL, NoSQL, cloud storage).
- Proficiency with data processing frameworks (e.g., Apache Spark, Apache Beam).
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).
- Strong problem-solving skills and the ability to troubleshoot complex data issues.
- Ability to optimize data workflows for performance and scalability.
- Excellent communication and collaboration skills.
- Ability to work effectively in a fast-paced, dynamic environment.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Bonus
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Familiarity with data visualization and business intelligence tools (e.g., Tableau, Power BI).
- Knowledge of machine learning and data science concepts.
More about Gatik
- Gatik AI Website
- Tyson Foods Takes First Taste Of Autonomous With Gatik
- Forbes Cover featuring Gautam Narang 2023
- The 10 most innovative companies in transportation of 2023
- Gatik and Kroger multi-year commercial collaboration
- America’s Best Startup Employers of 2023 by Forbes
- America’s Best Startup Employers of 2022 by Forbes
- Gatik been named as a 2023 FreightTech 25 winner!
- Gatik named a TIME Best Invention of 2022
- Apeksha Kumavat recognized on the Inc. 2022 Female Founders 100 List
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