Job Requisition ID #
Position Overview
Autodesk's Entertainment & Media Solutions is hiring a Senior Data Engineer to join our Autodesk Flow team. As a Senior Data Engineer, you'll play a key role in the technical development of engineering and business workflows. Your work will enable our teams to apply data for decision-making and will help drive customer value. In this role, you'll help us transform business decisions and processes with actionable customer insights gained from meaningful research, analysis, experimentation and measurement of the customer experience.
Responsibilities
Improve team productivity through creating future state best practices for business analytics
Define, design, and implement AWS/BI technologies and services
Support strategic programs and ongoing business requirements through data analytics
Create analytical reports and develop BI layer with resulting conclusions
Minimum Qualifications
3+ years of related professional experience, with at least two years of experience with data modelling, including the design of schemas optimized for data retrieval
Proficient in SQL and data modeling for analytics and retrieval
3+ years experience in data visualization tools like Tableau, Looker, AWS Quicksight
Programming skills in Python or Java
Experience building data pipelines and working with large-scale data systems
Hands-on experience with AWS (e.g., Lambda, Step Functions, SQS, IAM)
Familiarity with Infrastructure as Code (e.g., Terraform, CloudFormation, CDK)
Preferred Qualifications
BS or MS in Computer Science or related technical field
Experience with data orchestration tools (e.g., Airflow, Temporal)
Knowledge of big data technologies like Spark, Hive, or Presto
Experience developing GraphQL, RESTful APIs and working with microservices
Understanding of secure cloud architecture and CI/CD practices
Experience developing data ingestion and processing pipelines, monitoring and self-healing systems
Experience with AWS infrastructure as code solutions, such as CDK or Cloud Formation
Experience working with Data Lake or Warehouses, ETLs
Experience with data modeling, including the design of schemas optimized for data retrieval
Programming with SQL, Python, Spark, PySpark, Spark SQL, Java, Jinja, dbt and related languages and technologies
Experience with workflow management tools, like Airflow and Temporal
Experience designing and implementing GraphQL, RESTful APIs in Python
Strong technical skills and interest in learning best of class technologies around data warehousing, data wrangling, data quality, data governance and data ethics
Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
Top Skills
Similar Jobs
What you need to know about the Montreal Tech Scene
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal