Senior Data Engineer

Overview

Senior Data Engineer building data foundations for data-driven marketing and digital transformation at Autodesk.

What you'll do

• Design and maintain data pipeline architecture.
• Assemble complex data sets meeting functional and non-functional requirements.
• Build ETL infrastructure for data extraction, transformation, and loading using SQL, dbt, and AWS big data technologies.
• Develop scalable, secure, and governed data products and pipelines for analytics and ML/GenAI/LLM use cases.
• Work with structured and unstructured data for capabilities such as semantic layers, embeddings, vector search, and RAG while ensuring data quality and observability.
• Enable production-grade agentic AI solutions using reliable data services and APIs to securely access enterprise data.

What you'll need

• 5+ years of experience in a Data Engineer role.
• Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
• 5+ years hands-on experience in Snowflake.
• 5+ years working in dbt with advanced concepts like macros and Jinja templating.
• Advanced working SQL experience with relational databases and query authoring.
• Python scripting experience.
• Big data tools experience with PySpark and AWS data engineering services (e.g., S3, EC2, Glue, Lambda, RDS, or Redshift).

Details

• Hybrid position in Bengaluru.