Position Overview

Autodesk is looking for diverse engineering candidates to join Licensing and Compliance team, a collection of systems and teams focused on detecting and exposing non-compliant users of Autodesk software. This is a key strategic initiative for the company!

As a Data Engineer, you will work to rapidly improve critical data processing & analytics pipelines. You will tackle hard problems to improve the platform's reliability, resiliency, and scalability.

We are looking for someone who thrives on autonomy and has experience driving long-term projects to completion. You are detail and quality oriented, and excited about the prospects of having a big impact with data at Autodesk. Our tech stack includes Hive, Spark, Presto, Jenkins, Snowflake, PowerBI, Looker and various AWS services.

Responsibilities

• You will need a product-focused mindset. It is essential for you to understand business requirements and architect systems that will scale and extend to accommodate those needs
• Break down complex problems, document technical solutions and sequence work to make fast, iterative improvements
• Build and scale data infrastructure that powers batch and real-time data processing of billions of records
• Automate cloud infrastructure, services, and observability
• Develop CI/CD pipelines and testing automation
• Interface with data engineers, data scientists, product managers and all data stakeholders to understand their needs and promote best practices
• You have a growth mindset. You will identify business challenges and opportunities for improvement and solve for them using data analysis and data mining to make strategic or tactical recommendations
• You will support analytics and provide critical insights around product usage, campaign performance, funnel metrics, segmentation, conversion, and revenue growth
• You will build ad-hoc analysis, long-term projects, reports and dashboards to find new insights and to measure progress in key initiatives
• You will work closely with business stakeholders to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs
• You will partner with different teams within the organization to understand business needs and requirements
• You will deliver presentations that will distill complex problems into clear insights

Minimum Qualifications

• 4-7 years of relevant industry experience in big data systems, data processing and SQL databases
• 3+ years of coding experience in Spark data frames, Spark SQL, PySpark
• 3+ years of hands on programming skills, able to write modular, maintainable code, preferably Python & SQL
• Good understanding of SQL, dimensional modeling, and analytical big data warehouses like Hive and Snowflake
• Familiar with ETL workflow management tools like Airflow
• 2+ years of building reports and dashboards BI tools. Knowledge of Looker a plus
• Experience with version control and CICD tools like Git and Jenkins CI
• Experience in working and analyzing data on notebook solutions like Jupyter, EMR Notebooks, Apache Zeppelin
• Problem solver with excellent written and interpersonal skills; ability to make sound, complex decisions in a fast-paced, technical environment.
• Bachelor's degree in computer science, Engineering or related field, or equivalent training, fellowship, or work experience