Data Analytics Engineer

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!

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