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Job Requisition ID #
Position Overview
We are looking for an exceptional Analytics Engineer to transform, optimize, test, and maintain architectures for enterprise analytics databases, data pipelines, and processing systems, as well as optimizing data flow and collection for teams. The mission of the team is to empower decision makers through trusted data assets and scalable self-serve analytics. You will engineer new pipelines and maintain, create frameworks, enhance existing data pipeline with new features to ensure accurate data delivery to stakeholders in a timely manner, also support ad-hoc reporting requirements that facilitate data-driven actionable insights at Autodesk.
You will join the CTS Data & Analytics (D&A) team and report to the senior manager of the team. The group has Bi Developers, analysts, and data scientists who support the Customer Technical Success Organization. As part of the team, you will have the opportunity to work on initiatives that impact CTS overall, as well as the specific functional area that you support.
Signs you are a good fit for the role.
You’re a true data ninja � you can creatively mine multiple disparate datasets to glean insights, answer business questions and provide next best actions
You want to understand Customer Success and Product Insights � you’re not just satisfied with building a cool model, you also want to make sure it’s relevant in the field.
You help tell compelling stories using data and reporting tools�  weave together a narrative of what is happening in the business based on your analysis.
You engage business leaders to determine how to best answer their questions through analysis and data science methodologies
Key Responsibilities
Maintain/develop data pipelines required for the extraction, transformation, cleaning, pre-processing, aggregation and loading of data from a wide variety of data sources using Python, SQL, DBT, and other data technologies
Design, implement, test and maintain data pipelines/ new features based on stakeholders' requirements
Develop/maintain scalable, available, quality assured analytical building blocks/datasets by close coordination with data analysts
Optimize/ maintain workflows/ scripts on present data warehouses and present ETL
Design / develop / maintain components of data processing frameworks
Build and maintain data quality and durability tracking mechanisms to provide visibility into and address inevitable changes in data ingestion, processing, and storage
Collaborate with stakeholders to define data requirements and objectives.
Translate technical designs into business appropriate representations and analyse business needs and requirements ensuring implementation of data services directly correlates to the strategy and growth of the business
Address questions from downstream data consumers through appropriate channels
Create data tools for analytics and BI teams that assist them in building and optimizing our product into an innovative industry leader
Stay up to date with data engineering best practices, patterns, evaluate and analyze new technologies, capabilities, open-source software in context of our data strategy to ensure we are adapting our own core technologies to stay ahead of the industry
Contribute to Analytics engineering process
Required Qualifications
5+ Years Relevant Work Experience
BA / BS in Data Science, Computer Science, Statistics, Mathematics, or a related field
Built processes supporting data transformation, data structures, metadata, dependency, data quality, and workload management
Experience with Snowflake, Hands-on experience with Snowflake utilities, Snow SQL, Snow Pipe. Must have worked on Snowflake Cost optimization scenarios.
Overall solid programming skills, able to write modular, maintainable code, preferably Python & SQL
Have experience with workflow management solutions like Airflow
Have experience on Data transformations tools like DBT
Experience working with Git
Experience working with big data environment, like, Hive, Spark and Presto
Ready to work flexible hours
Preferred Requirements
Experience supporting Support, Customer Success,
DAG Airflows
Knowledge of natural language processing (NLP) and computer vision techniques.
Familiarity with version control systems (e.g., Git).
Snowflake
DBT
Working knowledge of Power BI
AWS environment, for example S3, Lambda, Glue, Cloud watch
Basic understanding of Salesforce
Experience working with remote teams spread across multiple time-zones
Have a hunger to learn and the ability to operate in a self-guided manner
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 � our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future 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, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.Sales Careers
Working in sales at Autodesk allows you to build meaningful relationships with customers while growing your career. Join us and help make a better, more sustainable world. Learn more here:
Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here:
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