Job Requisition ID #
Position Overview
At Autodesk, ourSPM – Sales Planning and Managementteam is responsible for solving complex global planning challenges. We do this by leveraging a variety of platforms, working closely with our finance and sales teams in a collaborative, cross-functional environment. We are looking for a data-driven professional with a passion for technology, curiosity for solving planning problems, and exceptional interpersonal and communication skills.
What We’re Seeking:
Technical and Business Acumen: Proven experience in sales, finance, and customer data, and an ability to use technology to drive business outcomes.
Leadership and Collaboration Skills: Demonstrated experience working with global teams and collaborating effectively across diverse groups.
Passion for Innovation: A creative professional who is eager to turn data into actionable business insights, helping to shape the future of sales planning at Autodesk.
Location: Bangalore, India (Hybrid).
Responsibilities
Maintain and develop data pipelines for extraction, transformation, cleaning, pre-processing, aggregation, and loading of data from diverse sources using Python, SQL, DBT, and other relevant technologies.
Design and implement new features in collaboration with stakeholders based on their requirements.
Build scalable and available datasets by collaborating closely with data analysts.
Optimize and maintain workflows and scripts within current data warehouses and ETL processes.
Build data quality and durability tracking mechanisms to ensure visibility and stability of data ingestion, processing, and storage.
Translate technical designs into business-oriented solutions, aligning with the strategy and growth objectives of the organization.
Focus on automation, CI/CD practices, and self-service modules relevant to data domains.
Collaborate with data consumers and analytics teams to build data tools that support business intelligence and product innovation.
Stay up to date with best practices in data engineering and evaluate new technologies to keep Autodesk’s data strategy at the forefront of industry trends.
Minimum Qualifications
Bachelor’s degree in Computer Science, Information Systems, or a related discipline.
5+ years of experience as a Data Engineer.
Expertise in building processes supporting data transformation, data structures, metadata, and workload management.
Hands-on experience withSnowflakeutilities like Snow SQL and Snow Pipe, including Snowflake cost optimization scenarios.
Strong programming skills inPythonandSQL, and experience writing modular, maintainable code.
Experience withAirflowandDBT.
Familiarity with Git for version control.
Experience with big data technologies.
Demonstrated ownership, ability to build consensus across teams, and experience with designing complex enterprise systems.
Fast learner and team player, with experience collaborating with various disciplines and domains.
Excellent verbal and written communication skills.
Preferred Qualifications
Experience with tools likeFive Tran,Airflow,Jenkinsfor CI/CD.
Familiarity with Power BI and AWS services such as S3, Lambda, Glue, and CloudWatch.
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
Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
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