Data Engineer

Autodesk Autodesk · Enterprise · Bangalore, India

Seeking a Data Engineer to join the People Insights & Solution Design team to build and maintain people data pipelines and analytics-ready datasets. Responsibilities include data governance, partnering with IT for automation, collaborating with stakeholders, supporting data models, performing data analysis, and assisting with dashboards. Requires 8 years of data technology experience, understanding of data warehousing and analytical data modeling, proficiency in Python and SQL, and working knowledge of non-relational databases.

What you'd actually do

  1. Build and maintain data pipelines and datasets in alignment with team and enterprise standards, and contribute to the evolution of those standards under the guidance of senior team members
  2. Support data governance practices by helping document data definitions, lineage, and usage, and by following established controls for data quality, access, and compliance
  3. Partner with our IT organization to support and enhance the end-to-end automation of data pipelines, making datasets readily-consumable by visualization tools and notification systems
  4. Collaborate with stakeholders across People & Places and other corporate functions to understand data requirements and analytics use cases
  5. Support the development and evolution of people analytics data models under the guidance of senior data engineers

Skills

Required

  • 8 years of experience working with data technologies
  • Foundational understanding of data warehousing concepts
  • Foundational understanding of analytical data modeling
  • Proficiency in at least one modern programming language (e.g., Python) for data processing and analysis
  • Proficiency in SQL
  • Experience querying relational databases
  • Working knowledge of non-relational databases (e.g., vector, document or key-value stores)
  • Experience integrating data from multiple sources, including files, databases, and APIs
  • Familiarity with data cleaning, transformation, and validation techniques
  • Exposure to business intelligence or data visualization tools (such as Tableau, Power BI, or similar)
  • Ability to communicate clearly with technical and non-technical partners
  • Strong analytical mindset
  • Attention to detail

Nice to have

  • Experience with cloud-based data platforms (AWS preferred)
  • Familiarity with version control (e.g., Git)
  • Familiarity with collaborative development workflows
  • Exposure to data quality scorecarding
  • Exposure to data governance
  • Exposure to data monitoring concepts in an enterprise or regulated data environment