Job Description:
Overview
Join Autodesk as a Data Engineering Apprentice and launch your tech career! Perfect for recent graduates eager to make an impact; this role lets you work hands-on with modern data platforms and cloud solutions (like AWS). You will design, build, and optimize data pipelines, support integration from multiple sources, cleanse and validate data, and help create data models. Collaborate with experienced engineers and cross-functional teams, develop workflow automation, monitor systems, and troubleshooting issues. If you are driven, detail-oriented, and excited to learn cutting-edge skills that drive real business insights, we want you on our team!
Key Responsibilities:
Assist in designing, developing, and maintaining data pipelines (ETL/ELT).
Support data integration from multiple sources into data platforms and data lakes.
Perform data cleansing, transformation, and validation to ensure data quality and accuracy.
Help build and maintain data models and schema designs.
Work on cloud-based data solutions (AWS or similar platforms).
Support the development of data workflows and pipeline automation.
Monitor data systems and contribute to observability and performance improvements.
Troubleshoot and resolve issues related to data pipelines and data quality.
Collaborate with cross-functional teams to understand data requirements and use cases.
Contribute to reporting, analytics, and data-driven insights.
Assist in improving data engineering tools, processes, and best practices.
Required Qualifications and Skills:
Bachelor's degree in computer science, AIDS, Data Science, Engineering, or related field.
Programming knowledge in Python, Java, or Scala, along with SQL and database concepts.
Understanding data structures, data modeling, and ETL/ELT pipelines.
Familiarity with cloud platforms (AWS preferred) and basic big data concepts (data lakes, NoSQL)
Exposure to data tools such as Snowflake, DBT, Airflow, or similar
Basic knowledge of data analytics or statistical concepts
Academic or project experience in data engineering or related areas
Awareness of Agile methodologies.
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Autodesk has always valued flexibility in how we work. We continue to provide employees flexibility to support their work preferences wherever possible and nearly all roles are hybrid or remote, unless otherwise indicated.