À propos de ce poste Senior Data Engineer chez Autodesk
Job Requisition ID #
Position Overview
As a Senior Data Engineer, you will build the foundations that enable data driven marketing and the digital transformation journey at Autodesk. You will work with data strategists to understand the business requirements and execute the tactical aspects of delivering on the vision. Your team will drive multiple tool selection initiatives, ingesting data from different source systems to the data lake, Data Wrangling to enable downstream data consumers, developing systems & processes to improve data reliability, developing a comprehensive data catalog and training downstream data consumers. You will report to Manager, Data Engineering. This is a hybrid position in Bengaluru.
Responsibilities
Create and maintain optimal data pipeline architecture.
Assemble complex data sets that meet functional/non-functional requirements
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, dbt, and AWS 'big data' technologies
Design and build scalable, secure, and governed data products and pipelines that enable Analytics, ML, Generative AI, and LLM-based applications
Work with structured and unstructured data and apply modern approaches such as semantic layers, embeddings, vector search, and Retrieval-Augmented Generation (RAG), while ensuring data quality, lineage, observability, security, and responsible AI practices
Enable and contribute to production-grade Agentic AI solutions by designing reliable data services, APIs, semantic models, and tool interfaces that allow AI agents to securely discover, retrieve, reason over, and act on enterprise data. Experience with agent orchestration, tool/function calling, MCP, context and memory management, evaluation, guardrails, and observability is highly desirable
Build analytics tools that utilize the data pipeline to provide actionable insights into employee experience, operational efficiency, and other key business performance metrics
Work with stakeholders to assist with data-related technical issues and support associated data infrastructure needs
Build processes supporting data transformation, data structures, metadata, dependency, and workload management
Keep up to date with the latest and greatest in feature-sets and capabilities from public cloud providers (such as AWS and Azure) and find ways to apply them back to help their team
Work with data scientists and analysts to strive for greater functionality in our data systems
Minimum Qualifications
We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
5+ years of hands-on experience in Snowflake
Mandatory 5+ years of working in dbt with knowledge on advanced dbt concepts like macros and Jinja templating
Advanced working SQL experience working with relational databases, query authoring (SQL) and working familiarity with a variety of databases
Experience with scripting languages such as Python
Experience with big data tools such as PySpark
Experience with AWS cloud services used often for data engineering including S3, EC2, Glue, Lambda, RDS, or Redshift
Experience working with APIs to pull and push data
Experience optimizing 'big data' data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Able to read existing code to understand functionality and debug issues
Preferred Qualifications
Experience working with Marketing Domain knowledge will be highly preferred
Familiarity with Agile methodologies is a plus
Experience working with PowerBI to develop dashboards is a plus
Analytical skills related to working with unstructured datasets
A successful history of processing value from large, disconnected datasets
Experience working with agile, globally distributed teams
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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.Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
In-Person Onboarding and Identity Verification
This role may require in-person onboarding and/or in-person ID verification.
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