About us Startup - Experienced Data Engineer Supply chain and logistics is going through a technological evolution and customer expectations around delivery have become more demanding.
We are an AI startup solving the most complex problems in the $800bn trucking industry in the US.
Our platform empowers trucking companies to operate efficiently and competitively in a rapidly changing marketplace.
We are literally helping to move the world forward.
Who we are seeking As a Data Engineer, you will be responsible for designing, developing, and maintaining our data pipelines and ETL processes.
You will work closely with cross-functional teams to ensure seamless data integration, transformation, and delivery.
In addition to your ETL expertise, you will leverage your DevOps experience to optimize our data and software infrastructure, automate processes, and ensure scalability and reliability.
You will be empowered to transform the technology stack to support the company growth plans.
We are about building a strong organizational culture that values growth, learning, ownership, delivery, and collaboration.
You'll be a critical part of a fast-growing startup with respect from day one.
What you'll do Design, develop, and maintain scalable ETL processes to extract, transform, and load large volumes of data from various sources into our data warehouse Design, code, and execute on projects to improve the reliability and observability of the Everest overall software stack Collaborate with stakeholders to understand data requirements and translate them into efficient ETL workflows Collaborate with the engineering team to improve release and monitoring processes, automating whenever possible Implement and maintain data pipelines using technologies such as AWS Glue, Apache AirFlow, and custom Python scripts Build monitoring and alerting systems to proactively identify and resolve data pipeline and software issues Stay up-to-date with the latest industry trends and best practices in data engineering, reliability engineering, ETL processes, and cloud technologies The ideal candidate will have Proficient in english is a must 5+ years of proven experience as a Data Engineer, working on complex ETL processes and data pipelines (or Master's plus 2 year of relevant experience) Strong proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, Redshift) Hands-on experience with cloud platforms, particularly AWS (e.g., S3, DynamoDB, Glue, Lambda, EMR, Redshift, CloudWatch) Experience with workflow orchestration tools like Apache AirFlow Proficiency in at least one programming language (Python preferred) for scripting and automation Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes, Jenkins) for building and managing data and software infrastructure Strong problem-solving and analytical skills with a focus on data quality and reliability Excellent communication and collaboration skills to work effectively with cross-functional teams Bonus points if you have Experience with data streaming technologies (e.g., Kafka, Kinesis) Understanding of machine learning concepts and frameworks (e.g., TensorFlow, PyTorch) Domain expertise in logistics or supply chain If you're really interested in this job, apply on and send us an email with your resume to ******.
